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------=_NextPart_01C6734D.58C29120 Content-Location: file:///C:/968A9965/recherche_fichiers/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C6734D.58C29120 Content-Location: file:///C:/968A9965/recherche_fichiers/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Comment les moteurs recherchent

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les moteurs
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Eric Culnaërt

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Aquitaine Europe Communication

www.aecom.org

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Annuaires et répertoires :
un service ponctuel

&#= 8226;Les annuaires généralistes sont à l’agonie

<= span style=3D'font-family:Verdana;font-size:75%;visibility:hidden'>•

•Les annuaires spécialisés restent de bons points d’entrée pour des recherches spécifiques

Search Finance


	Le fon= ctionnement des annuaires, que certains préfèrent appeler répertoires, est calqué sur celui des PagesJaunes: pour y être référencé, il faut soumettre son site, en précisant la catégorie dans laquelle on souhaite le voir figurer (aéromodélisme, musique, etc.). Selon le cas, un ag= ent humain valide ou non l’inscription; selon le cas également, l’inscription est libre ou non, gratuite ou non. Dans les temps héroïques de leur gloire passée (dans les années 90), les grands annuaires généralistes facturaient certains services, comme la garantie de voir son site examiné et référencé dans le délai le plus bref. Le déclin systématique de ces annuaires a entraîné= ; la disparition de ces services payants, ainsi que des formulaires d’inscription tout court, avant la disparition des annuaires eux-mêmes ou leur déshérence (Lycoos, Alice, Voila…). Dernière en date, la disparition de Zeal, un répertoire basé sur la contribution de volontaires, marque = la fin d’une ère et le début de la suivante, où l= es outils de bookmarking social étiquetés « web 2.0 » comme Digg ou del.icio.us, dont la souplesse est supérieure à tous points de vue. L’arborescence compliquée de catégories et de sous-catégories parfo= is inextricables et souvent arbitraires ne rendait pas le recours aux annuai= res des plus efficaces pour la recherche d’information en ligne.=

	Les an= nuaires spécialisés, par contre, continuent d’apporter un réel service: maintenus par une profession, par des spécialistes d’une question ou d’une discipline (scientifique, sportive, etc.), ils sont souvent un excellent point de départ pour une recherche ciblée et s’appuient souvent sur des réseaux humains plus ou moins formalisés qui échappent pour l’essentiel à la sagacité des moteurs de recherche parce qu’il ne s’agit souvent pas de spécialistes de l’internet – d’où quelques trouvailles qu’une recherche par mots-clés aura plus de mal à faire émerger. La pertinence de l’information, dans= ce cas, s’évalue au cas par cas à l’usage – identifier qui maintient un annuaire devient alors un indice essentiel de= sa crédibilité, sinon de sa pertinence.

	N&eacu= te;anmoins, toute recherche d’information passe désormais quasi immanquablement par un moteur de recherche; en fait, c’est mê= me aujourd’hui le point d’entrée de la plupart des activités en ligne, hors messagerie. Sans doute la plupart d’entre vous ont-ils un moteur de recherche – et Google le pl= us souvent – en page d’accueil, en tant que tel ou masqué= au sein de la page de leur fournisseur d’accès.

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Moteurs de recherche :
pri= ncipes de fonctionnement

•Indexation

–Constitution d’un grand « réservoir = de pages »: le cache = ;

–De l’ordre d’une dizaine de milliards de pages pour les grands moteurs

–Mais une portion infime de l’information disponible en ligne =

–

•Classement des résultats

–À chaque requête, tri des résultats selon le contenu des pages = ;

–Classement, notion de « Page rank » (popularité)

Page Rank


	Comme = pour n’importe quel outil dont on souhaite évaluer l’efficacité et la pertinence, il est nécessaire d’en connaître les principes de fonctionnement. Pour les mote= urs de recherche, il s’agit d’un processus en deux étapes.= La première consiste à mettre en œuvre un logiciel qui parcourt inlassablement le web, de lien en lien, et qui enregistre automatiquement les pages qu’il rencontre dans une sorte d’im= mense réservoir sur disque dur appelé le cache. Cette étape amène à constituer un index des pages rencontrées, on parle donc d'indexation. Pour donner un ordre de grandeur, Yahoo! Annonçait l’an dernier le chiffre très controvers&eac= ute; de 20 milliards, avant que Google, l’ayant rejoint, décide d= e ne plus axer sa communication sur ce point. Ces chiffres paraissent énormes, et ils le sont, mais il faut les rapporter à la ma= sse globale du Web: selon une récente estimation communiquée pa= r le directeur exécutif de Google, le moteur de recherche aurait &agrav= e; ce jour la capacité d'indexer un trente-millième du poids t= otal des données en ligne; si ce poids cessait d'augmenter aujourd'hui,= et tout indique qu'au contraire qu'il va continuer de croître tr&egrav= e;s rapidement, il faudrait à Google 300 ans pour en indexer la totalité. On voit donc que les moteurs de recherche ne proposent qu'une vision partielle du web. Si l’on met de côté to= ut ce qui est multimédia, on arrive à un tiers environ des pag= es

	La deu= xième étape consiste en une analyse essentiellement statistique des pages indexées lors de la première étape. Lorsque vous lan= cez une recherche sur un mot, un logiciel parcourt toutes les pages stockées dans le cache à la recherche de ce mot et constitue une liste de résultats. Selon la trivialité du mot ou de l'expression recherché, le nombre de résultats peut varier = dans de très grandes proportions, de quelques dizaines et plusieurs centaines de milliers, voire de millions. Un tri est ensuite opéré pour classer toutes les pages trouvées en fonc= tion de leur degré de pertinence. Les algorithmes mathématiques utilisés sont extrêmement complexes. Pour simplifier, on peut dire que plus le mot recherché apparaît tôt et un grand nombre de fois sur une page, plus celle-ci monte dans le classement.

	Un aut= re facteur déterminant est le nombre de pages comportant des liens vers la pa= ge en question – on parle de popularité. Si ces pages sont elles-mêmes populaires et en rapport avec le sujet, la page li&eacu= te;e monte encore dans le classement. Il s’agit de la notion de page rank introduite par les inventeurs de Google et qui a révolutionn&eacut= e; le paysage de la recherche sur Internet en améliorant la pertinence des résultats perçue par les internautes. Les liens entrants sur une page sont pris en compte, mais également les liens sortant= s: si une page comporte des liens vers des sites identifiés comme aya= nt un comportement douteux (spam, notamment), son page rank chute. La forme = des liens entre également en ligne de compte: plus ceux-ci seront rich= es et explicites, plus la page remontera dans le classement.
	Se sur= ajoutent à ces facteurs des pondérations diverses, avec le recours à des ontologies, ou dictionnaires de dictionnaires, pour essayer = de proposer des améliorations du classement fondées sur l’analyse sémantique des contenus, mais on est en encore au = tout début. En tout cas, de nombreux indices laissent à penser q= ue la « popularité » d’une page, avec tou= t ce que ce mode de classement peut parfois produire d’absurde et d’inefficace, si elle continue d’être un critère= de classement déterminant, est de plus en plus pondérée= par d’autres métriques, sur lesquels règne la plus grande obscurité.

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Classement des résultats :
une formule secrète

•Enjeu stratégique du classement

–L’internaute ne consulte généralement que la première page de résultats

–Les sites sont prêts à tout pour arriver <= span style=3D'position:absolute;top:40.5%;left:18.91%;width:50.74%;height:4.25%= '>en tête de classement= 3;

–Pour rester crédible, le moteur de recherche doit garder secr&egr= ave;te sa formule de classement

–Sans compter que la concurrence veille…

–

•Les résultats ne sont objectifs qu’en apparence <= /b>

– =

Les ou= tils de linguistique statistique mis en œuvre sont de plus en plus raffinés, donc difficiles à évaluer pour le profane = et même pour le spécialiste, et de toute façon les formu= les employées sont tenues secrètes et changées continuellement. La raison tient à l’importance stratégique d’un bon classement : les moteurs de recherche s= ont devenus la première porte d’entrée du web pour les in= ternautes, et par ailleurs ceux-ci ne consultent guère que la première= ou au mieux les deux ou trois premières pages de résultats. On comprend que certains responsables de sites Internet soient prêts à toutes les astuces pour obtenir un bon classement – on par= le d’un bon référencement. Il s’agit par exemple de créer deux versions d’une même page, l’une lisib= le par un humain, l’autre illisible mais construite uniquement pour correspondre aux critères d’évaluation d’un ou = des moteurs de recherche.

Ce qui= revient à fausser la pertinence des résultats pour l’internau= te, ce qui nuit à la crédibilité du moteur de recherche – d’où le secret sur les formules exactes permettant le classement des pages ; d’où le perpétuel ajustement de ces formules en fonction des nouvelles astuces déployées po= ur obtenir une bonne place ; d’où, même, des procédures de punition des petits malins avérés ou potentiels. Ainsi, si une page connaît une ascension par trop fulgurante dans les classements, elle est automatiquement considérée comme suspecte et peut se voir rétrogradée, voire exclue.

La vis= ibilité d’un contenu en ligne dans les moteurs de recherche dépend d= onc de deux paramètres : premièrement, a-t-il été repéré par le logiciel de collecte, fait-il partie du stock= ? Deuxièmement, correspond-il aux critères du logiciel de classement ? Le fonctionnement du deuxième, en particulier, est po= ur l’essentiel opaque et seulement connu d’une firme privé= ;e, dont les choix techniques reposent sur une représentation préconçue du Web et engagent en réalité des c= hoix éditoriaux masqués, seulement contrebalancés par la nécessité de continuer d’apporter à l’in= ternaute un service que celui-ci juge fiable.

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------=_NextPart_01C6734D.58C29120 Content-Location: file:///C:/968A9965/recherche_fichiers/slide0015.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Comment les moteurs recherchent

Moteurs de recherche :
mod= èle économique

•Mise en relation

–De l’internaute avec l’information qu’il recherche

–Des éditeurs de contenus avec l’internaute =

–Des annonceurs avec leur cible

–

•Financer le service

–Par la publicité

–En ne payant pas pour les contenus indexés

Le sec= ret qui entoure le fonctionnement technique des moteurs de recherche amène à parler rapidement de leur modèle économique. Les moteurs assurent pour l’essentiel un double service de mise en rela= tion : de l’internaute avec l’information qu’il recherche, m= ais aussi du producteur de cette information avec l’internaute qu’= ;il cherche à atteindre. Et le financement de ce service est assur&eac= ute; par la publicité, sous diverses formes. Les annonceurs ne paient p= our insérer de la publicité que si les internautes sont au rendez-vous ; les internautes ne viennent que s’ils ont le sentiment d’être orientés vers des contenus de qualité, si possible représentatifs d’un part importante de l’ense= mble des contenus existant dans le monde. D’où l’ambition d’un Google, par exemple, qui annonce vouloir à terme indexer l’intégralité du savoir humain et entreprend de numériser les bibliothèques. Mais pas question pour Google = de commencer à reverser une contrepartie aux producteurs de contenus = qui l’alimentent, car son modèle économique repose sur l’idée implicite qu’il leur rend un service en les met= tant en relation avec les internautes – d’où des batailles autour des limites du droit d’auteur et des recherches de compromis avec les éditeurs attachés à leur copyright. Il va de soi que ce type de contraintes oriente la nature des contenus index&eacut= e;s et donc influe sur la pertinence des recherches.

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------=_NextPart_01C6734D.58C29120 Content-Location: file:///C:/968A9965/recherche_fichiers/slide0023.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Comment les moteurs recherchent

Moteurs de recherche :
l&#= 8217;écosystème

Liens croisés

Une bo= nne connaissance technique de votre outil moteur de recherche et de sa part d’ombre doit s’accompagner d’une bonne connaissance du paysage de la recherche sur Internet, paysage en évolution rapide malgré l’écrasante domination de quelques grands acte= urs parce que fortement concurrentiel: le moindre avantage compétitif = peut y produire des renversements spectaculaires, et les forces engagées sont colossales (cf. Dossier de veille). Les plus de trente ans se rappel= lent peut-être vaguement d’AltaVista, ils ont certainement oublié qu’il n’y a pas si longtemps tout le monde ne jurait que par lui; les autres n’arrivent sans doute même pas à imaginer l’Internet sans Google… qui n’a pas encore 10 ans.

Aujour= d’hui, 3 acteurs se répartissent le marché, soit par ordre décroissant: Google, Yahoo! et MSN. Aux Etats-Unis les 3 moteurs f= ont jeu à peu près égal, ou au moins jouent dans la même catégorie; dans le reste du monde, et en France en particulier, Google occupe entre 60% et 80% du terrain. De plus, on sait = que près de la moitié des internautes n’utilisent qu̵= 7;un moteur de recherche et reformulent une requête dont les résultats sont jugés insatisfaisants au lieu de l’ess= ayer sur un autre moteur; si on ajoute ceux qui utilisent occasionnellement un autre moteur de recherche que leur favori, on arrive à plus de 80%= de la population en ligne.

Pour u= ne utilisation efficace, et donc pour une utilisation professionnelle, il va de soi que = le recours à plusieurs moteurs est incontournable. Encore faut-il les connaître, connaître les relations qu’ils entretiennent entre eux; car non seulement FAI, hébergeurs, etc. utilisent les services des grands moteurs pour proposer des outils de recherche à leurs clients, mais certains moteurs eux-mêmes se reposent sur les résultats fournis par d’autres pour proposer leur propre ser= vice spécifique. En dehors des moteurs spécialisés, souve= nt confidentiels ou en devenir économique incertain, le paysage de la recherche en ligne est encore moins diversifié qu’il n’= ;y paraît.

Raison= de plus pour regarder d’un peu plus près la qualité du service proposé par les grands moteurs de recherche, dont les résul= tats alimentent la quasi-totalité des outils à votre disposition= .

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Pertinence des moteurs :
les index diffèrent, les résultats aussi
•Requêtes identiques sur Google,Yahoo!, = MSN, Exalead, Dir et Voila :&#= 13;
•
•Sur 4200 URL retournées, 80% sont citées par un seul mote= ur

&= #8226;Sur les deux seules URL communes aux 6 moteurs, l’une n’a= rien à voir avec le sujet= 230;

Pour t= oute cette partie consacrée à l’évaluation de la pertinen= ce des moteurs de recherche, je reprends une étude réalis&eacu= te;e dernièrement par Jean Véronis, chercheur enseignant en scie= nces du langage à l’Université d’Aix-Marseille; l’étude est téléchargeable dans son intégralité sur son blog « Technologies du langage », dont je recommande la lecture à tous égards.

La méthodologie est la suivante: chacun des 14 étudiants de son équipe a choisi un thème (Divertissement, Histoire, Politiq= ue, etc.), et a proposé cinq requêtes à l'intérieu= r de ce thème, soit un total de 70 requêtes en tout. Ces requêtes ont été soumises sur six moteurs avec les mêmes réglages (pages francophones, site parental activé), on a calculé le nombre d'URL communes aux différents moteurs sur la première page de 10 résult= ats (soit 4200 URL en tout).

On constate alors des divergences massives ; Yahoo et Google sont les plus proches (encore qu'ils diffèrent à 75%!) ; MSN n'e= st pas trop loin du tandem. Les moteurs français sont plus loin, avec Voila très distant de tous les autres. Ceci ne dit rien sur la qua= lité, bien sûr: on peut être éloigné des autres et être le meilleur (« mais dans le cas de Voila, honnêtement, j'en doute: on sent clairement que le moteur est laissé plus ou moins à l'abandon... », dixit Jean Véronis).

Si l’on s’attache à comparer la position des URL communes à deux moteurs, par contre, on voit apparaître une cohérence pour quatre des moteurs par rapport à Google: Yah= oo, MSN, Exalead et Dir. La concordance n'est évidemment pas parfaite, mais il y a une tendance prononcée à retourner des positions qui se ressemblent: si les autres moteurs n'implémentent pas exact= ement le PageRank, ils ont manifestement quelque chose qui y ressemble. Par con= tre, Voila donne des positions bien peu corrélées à celle= s de Google (et en fait de tous les autres moteurs) sur les quelques résultats qu'il donne en commun.

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file:///C:/968A9965/recherche_fichiers/slide0019.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Comment les moteurs recherchent

Pertinence des moteurs :
des critères passés sous silence

•Les partenariats économ= iques et stratégiques influen= t sur les résultats

Le m&e= circ;me panel de 4200 URL a été étudié sous l’angle d= e la présence des sites de vente en ligne, et a fait apparaître la prééminence sur ce terrain d’Amazon, Ebay et PriceMinister, avec cette conclusion que Google et Yahoo adorent Amazon tandis que Voila préfère Ebay et PriceMinister et que MSN e= st relativement neutre.

La m&e= circ;me démarche appliquée aux grandes bases de connaissances (sites d'information encyclopédique ou pratique), fait émerger 4 sites: Wikipedia, Yahoo (les différents services: actualités, horoscope, etc.), AlloCiné et Doctiss= imo (il y avait une rubrique cinéma et une rubrique santé dans les requêtes).

Yahoo = (le moteur) adore Wikipedia… avec lequel il a signé l’an dernier un accord de partenariat pour contrer Google et notamment Google Print. L'encyclopédie libre est aussi présente, mais moins,= sur Google, Exalead et Dir. MSN n'y fait pas trop appel (pourquoi concurrencer bêtement le produit Encarta de Microsoft…) et Voila, qui &agr= ave; une époque avait un partenariat (désormais caduc) avec Hachette, ne retourne pas une seule page de Wikipedia. « Par contre, il fait très fort sur le cinéma: on voit qu'Allo= Ciné lui plaît franchement (ah oui, AlloCiné, c'est une société commerciale, qui a quelques liens avec Orange, qui lui-même..., etc.). », dixit Jean Véronis.=

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Pertinence des moteurs :
des résultats plus ou moins propres

•La proportion de liens = « morts »= ; est variable

–<= span style=3D'font-family:Verdana;font-size:71%'>selon les moteurs <= /span>

–<= span style=3D'font-family:Verdana;font-size:71%'>selon les jours<= /div>

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Pertinence des moteurs :
qu&= #8217;en pense l’utilisateur ?

Releton Web

Google et Yahoo! arrivent en tête… =

… mais n’obtiennent pas la moyenne<= /div>

Les r&= eacute;sultats obtenus lors de la première phase de l’étude ont été soumis à chacun des étudiants qui avait proposé des requêtes (a priori pas des bizuths pour ce qui e= st de la formulation d’une requête vu leur domaine d’étude…), et ceux-ci ont évalué, en la notant de 0 à 5, la pertinence des pages auxquelles renvoyaient les URL proposées par les moteurs de recherche.

Goo= gle et Yahoo arrivent en tête ex æquo, avec une note de 2,3, mais le résultat sans doute le plus frappant est le degré de satisfaction très médiocre des utilisateurs. Aucun des moteurs n’atteint la moyenne (2,5 sur 5) et les notes peuvent même être extrêmement faibles (1,2 pour Voilà). = Les liens notés 0 (c’est-à-dire totalement inutiles) sont étonnamment nombreux: 53,1 % pour Voilà, mais même les meilleurs ne font pas tellement mieux: 28,6 % pour Google et 27,7 % pour Yahoo. A l’inverse, les résultats notés 5 (excellent) n’atteignent même pas 16 % pour les deux meilleurs moteurs).

Même en restreignant l’étude à la premi&eg= rave;re position dans l’écran de résultats (le lien le pl= us cliqué par les utilisateurs), les performances sont à peine meilleures: Google et Yahoo dépassent à peine la moyenne av= ec 2,9 et 2,8 respectivement.

La pro= portion de liens à caractère commercial (non marqués comme sponsorisés) est élevée, puisque elle varie entre 7 = et 16% environ selon les moteurs. En soi, la présence de liens commerciaux n’est pas nécessairement nuisible à la qu= alité: sur une requête telle que «Harry Potter», faire apparaître la page Amazon où le livre peut être acheté peut être pertinent. Néanmoins, on observe, da= ns l’état actuel des choses, une nette dégradation des résultats en terme de pertinence perçue sur les liens commerciaux, et ce pour tous les moteurs: la note attribuée aux li= ens commerciaux est systématiquement inférieure à celle attribuée aux autres résultats. Google et Yahoo perde= nt ainsi environ un point sur les liens commerciaux, ce qui est beaucoup sur= une échelle de 5 points, surtout quand la note maximale n’est qu= e de 2,3.

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= Moteurs de recherche :
fon= ctions avancées

•<= span style=3D'font-family:Verdana;font-size:71%'>Utiliser plusieurs moteurs de recherche, c’est bien= ; bien les utiliser, c’est= encore mieux:

–= Choix des mots-clés = ;

–= Recours aux opérateurs = et aux modificateurs <= /span>

–=

•

On vie= nt de voir que la pertinence des moteurs de recherche n’est pas absolue; cela ne dispense pas de mettre tous les atouts de son côté en les utilisant aux mieux de leurs capacités; je fais mention en fin de présentation, dans les sources, d’une fiche comparative des fonctionnalités des principaux moteurs. Certaines sont spécifiques et peuvent déterminer le recours ponctuel ou préférentiel à tel ou tel moteur en fonction de ses besoins, mais d’autres sont communes à la plupart d’en= tre eux, encore que leur implémentation puisse varier.

1. = L'usage des guillemets permet de restreindre la recherche à une chaî= ne de caractère. Par exemple "Web 2.0"

2.<= /b> On peut aussi utiliser les opérateurs « + »= ; et « - » pour imposer la présence d'un mot-clé (ou d'une expression) ou au contraire n'afficher que les p= ages qui ne contiennent pas ce mot-clé ou cette expression. Exemple&nbs= p;: "web 2.0" +FING

3.&= nbsp;site:fing.org "'web 2.0'' L'instruction « site: » per= met de limiter la recherche d'information à un site en particulier, ici celui de la Fondation Internet Nouvelle Génération qui me servira d’exemple dans toute la suite. L'instruction « source: » fonctionne de la même manière et permet de restreindre la recherche à un site d'information répertorié par Google News.

4.<= /b> allinurl:fing web L'instruction « allinurl: » réduit la recherche aux pages web dont l'adresse (url) contient l'ensemble des mots. Google ne cherche pas dans le contenu des pages, mais uniquement dans les URLs des pages.

5.<= /b> inurl:fing.org web skype Avec cette instruction, Google recherche toutes les URLs (également celles contenus dans les pages web) contenant les mots-clés fing.org, web et skype.

6.<= /b> intitle:"web 2.0" L'instruction « intitle: » restrei= nt la recherche aux pages web dont le titre contient au moins un des mots-clés. L'instruction bénéficie aussi de la va= riante « allintitle: » qui fonctionne sur le même principe que « allinurl: » : le moteur ne cher= che alors que les pages web dont le titre contient l'ensemble des mots-clés ou l'expression exacte.

7.<= /b> allintext: fing.org L'instruction « allintext: »= recherche uniquement les mots-clés et expression présents d= ans le texte d'une page web (pas de recherche dans le titre ou l'URL d= e la page).

8.<= /b> ~house En utilisant le symbole « ~ » collé au mot-clé recherché, vous pouvez indiquer à Google de rechercher également les pages contenant un synonyme présumé du mot. Dans notre exemple, Google fournit aussi des résultats contenant le mot-clé « home &raqu= o; qu'il assimile à « house ».

9.<= /b> site: fing.org 2004..2006. Vous pouvez approximer une recherche en utilisant une plag= e de nombres. Par exemple pour trouver tous les articles du site fing.org = qui mentionnent des années comprises entre 2004 et 2006.

En résumé, pour trouver sur le site de la FING un article dont= le titre contient « web 2.0 », il vous suffit de saisi= r la recherche suivante : site: fing.org intitle:"w= eb 2.0" . On peut aussi construire des requêtes plus pointues dont seul le début change, par exemple : dadvsi site:liberation.fr -forum -intitle:forums -inurl:imprimer et où il suffit de changer le mot-clé initial pour effectuer une nouvelle recherche. Dans le même esprit, site: fing.org inurl:rss permet de trouver très facilement un flux RSS pour un site donné.

(les e= xemples qui précèdent ont été adaptés d’une excellente fiche de synthèse proposée par Indexel.net)

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Moteurs de recherche :
mot= eurs alternatifs et spécialisés

•Recherche « sémantique »:

–Hakia (lien), Qristal…

•Par secteur d’activité:

–Hippocrates (= lien) pour le médical <= /span>

–Kosmix (= lien) pour le politique

–Accoona (= lien) pour l’économiq= ue

•Par domaine linguistique ou culturel:

–<= /span>Vigoos (= lien)

•Par type de sources:

–Omgili (= lien) pour les forums <= /span>

–Technorati (= = lien) pour les blogs

–Rel8r (= lien) pour les « tags »

•Recherche collaborative:

–<= /span>Prefound (= lien)

•Catégorisation des résultats: =

–Infocious (<= p:onmouseclick hyperlinktype=3D"url" href=3D"http://search.infocious.com/"/>= lien), Kosmix (lien)

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Moteurs de recherche :
les grandes tendances d’évolution

•Indexer les contenus multimédia

•Cartographie et recherche locale

•« catégorisation » (clustering)

•Personnalisation par captation d’informations personnelles

•Recherche « sur le bureau »: indexer le = contenu des ordinateurs person= nels, des intranets d’entreprise, etc.

•Intégration des phénomènes dits « web= 2.0 »

•

ØL’améliorat= ion des algorithmes de recherche proprement dits, et = notamment les travaux sur l’analyse sémantique, semblent en panne.=

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<= span style=3D'font-family:Verdana;font-size:56%'>•Secrets2moteurs (= lien)

<= span style=3D'font-family:Verdana;font-size:56%'>•Intelligence center (= lien)

<= span style=3D'font-family:Verdana;font-size:56%;visibility:hidden'>•

<= span style=3D'font-family:Verdana;font-size:56%'>•Search Engine Matrix (lien)

•Répertoire des moteurs de recherche (= lien)

<= span style=3D'font-family:Verdana;font-size:56%;visibility:hidden'>•

<= span style=3D'font-family:Verdana;font-size:56%'>•inFLUX>rechercher sur le net (lien)

<= span style=3D'font-family:Verdana;font-size:56%'>•Technologies du langage (lien)

<= span style=3D'font-family:Verdana;font-size:56%;visibility:hidden'>•
•Net recherche : Le guide prati= que pour mieux trouver l'information utile (lien<= /span>)
<= span style=3D'font-family:Verdana;font-size:56%;visibility:hidden'>•

<= span style=3D'font-family:Verdana;font-size:56%;visibility:hidden'>•

Abonda= nce, Webrankinfo et Secrets2moteurs sont des sites très complets (et d’un sérieux irréprochable) consacrés aux mote= urs de recherche et à leur actualité, avec un fort accent mis s= ur le référencement et des fiches explicatives plutôt bi= en faites ; si l’utilisateur de moteurs de recherche a beaucoup &agrav= e; y glaner, la cible première est plutôt le créateur de s= ite désireux d’améliorer sa visibilité.

Une ap= proche similaire préside à la démarche de Christophe Asselin qui fait vivre Intelligence Center, avec un angle plus orienté vers l’utilisateur, notamment le veilleur.

Search= Engine Matrix permet une comparaison exhaustive des principaux moteurs de recherche qua= nt à leurs fonctionnalités et à leurs caractéristiques spécifiques. Le répertoire des mote= urs de recherche… est un répertoire des moteurs de recherche, classés par zone géographique.

inFLUX, également tenu par Christophe Asselin, est un excellent blog consacré à l’actualité de la recherche en lign= e ; Technologie du langage est le blog de Jean Véronis, enseignant chercheur en sciences du langages et qui consacre une part importante de = ses messages à l’évaluation critique – et scientifi= que – des principaux moteurs de recherche. C’est sur ces travaux = et ceux de son équipe que se fondent la plupart des études comparatives utilisées dans cette présentation.

Pour c= eux qui sont à la recherche d’un guide pratique de la recherche sur Inter= net, l’URFIST a récemment relayé la parution d’un ouvrage qui répond à leur attente; je n’ai pas encore= eu l’occasion de le lire, mais les auteurs ont d’excellentes références et l’ouvrage a été généralement bien accueilli – il a le mérite d’être tout récent, ce qui n’est pas indifférent sur un sujet en évolution rapide comme la reche= rche sur internet.

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Le fonctionnement des annuaires, que certains préfèrent appeler= répertoires, est calqué sur celui d= es PagesJaunes: pour y être r&eac= ute;férencé, il faut soumettre son site, en précisant la catégorie dans <= /span>laquelle on souhaite le voir figurer (aéromodélisme, musique, etc.). Selon le cas, un agent humain valide ou non l’inscription; sel= on le cas également, l’inscription est libre ou non, gratuite ou non. Dans les temps héroïques de leur gloire passée (dans les années 90), les grands annuaires généralistes facturaient certains services,= comme la garantie de voir son site examiné= et référencé dans le délai le plus bref. Le déclin systématique de ces annuaires a entraîné la disparition de ces servi= ces payants, ainsi que des formulaires d’inscription tout court, avant la disparition des annuaires eux-mêmes ou leur déshérence (Lycoos, Alice, Voila…). Dernière en date, la disparition de Zeal, = un répertoire basé sur la contribution de volontaires, marque la fin d’une ère et le début de= la suivante, où les outils de bookmarking soc= ial étiquetés « web 2.0 » comme Digg ou del.icio.us, dont la souplesse est supérieure à tous poin= ts de vue. L’arborescence compliquée de catégories et de sous-catégories parfois inextricables et s= ouvent arbitraires ne rendait pas le recour= s aux annuaires des plus efficaces pour la recherche d’information en ligne.

Les annuaires spécialisés, par contre, continuent d’apporter un réel service: maintenus par une profession, par des spécialistes d’une ques= tion ou d’une discipline (scientifique, sportive, etc.), ils sont = souvent un excellent point de départ pour = une recherche ciblée et s’a= ppuient souvent sur des réseaux humains plus ou moins formalisés qui échappent pour l’essentiel à la sagacité des moteurs de recherche parce qu’il ne s’agit so= uvent pas de spécialistes de l̵= 7;internet – d’où quelques trouvailles qu’une recherche par mots-clés aura plus de mal &a= grave; faire émerger. La pertinence de l’information, dans ce cas, s’évalue au cas par cas à l’usage – identifier qui maintient un annuaire devient alors un indice essentiel de sa crédibilité, sinon de sa pertinence.

Néanmoins, toute recherche d’information passe désormais quasi immanquablement par un moteur de recherche; en fa= it, c’est même aujourd’= ;hui le point d’entrée de la plupart des activités en ligne= , hors messagerie. Sans doute la plupart d’en= tre vous ont-ils un moteur de recherche – et Google le plus souvent – en page d’accueil, en tant que tel ou masqué= au sein de la page de leur fournisseur d’accès.

Co= mme pour n’importe quel outil dont on souhaite évaluer l’efficacité et la pertinence, il est nécessaire d’en connaître les principes de fonctionnement. Pour les moteurs de recherche, il s’agit d’un processus en deux é= tapes. La première consiste à mettre en œuvre un logiciel qui = parcourt inlassablement le web, de lien en lien, e= t qui enregistre automatiquement les pages = qu’il rencontre dans une sorte d’immense réservoir sur disque dur appelé le cache. Cette é= ;tape amène à constituer un index des pages rencontrées, on parle donc d'indexation. Pour donner = un ordre de grandeur, Yahoo! Annonçait l’an dernier le chiffre très controversé de 20 = milliards, avant que Google, l’ayant rejoint, décide de ne plus axer sa communication sur ce point. Ces chiff= res paraissent énormes, et ils le sont, mais il faut les rapporter &agr= ave; la masse globale du Web: selon une récente estimation communiquée par le directeur exécu= tif de Google, le moteur de recherche aur= ait à ce jour la capacité d'indexer un trente-millième du= poids total des données en ligne; si ce poi= ds cessait d'augmenter aujourd'hui, et tout indique qu'au contraire qu'il va continuer de croître très rapidement, il faudrait à Google 300 ans pour en indexer la totalité. On voit donc que les moteurs de recherche ne proposent qu'une vision partielle du web. Si l’on met de côté tout ce qui = est multimédia, on arrive à un tiers environ des pages

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La deuxième étape consiste en une analyse essentiellement statistique des pages indexées lors de la première étape. Lorsque vous lancez une recherche sur = un mot, un logiciel parcourt toutes les = pages stockées dans le cache à la recherche de ce mot et constitue= une liste de résultats. Selon la trivialité du mot ou de l'expression recherché, le nombre de résultats peut varier dans de très grandes proportions, de quelques dizaines et plusieurs centain= es de milliers, voire de millions. Un tr= i est ensuite opéré pour classer toutes les pages trouvées = en fonction de leur degré de pertinence. Les algorithmes mathématiques utilisés sont extrêmement complexes. Pour simplifier, on p= eut dire que plus le mot recherché apparaît tôt et <= span style=3D'font-size:83%'>un grand nombre de fois sur une page, plus celle-ci monte dans le classement.

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Un= autre facteur déterminant est le nombre de pages comportant des liens ver= s la page en question – on parle de popularité. Si ces pages sont elles-mêmes populaires et en rapport avec le sujet, la page li&eac= ute;e monte encore dans le classement. Il s’agit de la notion de page rank= introduite par les inventeurs de Google et qui a révolutionné le paysage de la recherche sur Internet en améliorant la pertinence des résultats perçue par les internautes. Les liens entrants sur une page sont pris en compte, mais égal= ement les liens sortants: si une page comporte des liens vers des sites identifiés comme ayant un comportement douteux (spam, notamment), son page rank chut= e. La forme des liens entre également en ligne de compte: plus ceux-ci seront riches et explicites, plus la = page remontera dans le classement.

Se surajoutent à ces facteurs des pondérations diverses, avec le recours à des ontologies, ou d= ictionnaires de dictionnaires, pour essayer de proposer des améliorations du classement fondées sur l’analyse sémantique des contenus, mais on est en encore au t= out début. En tout cas, de nombreux indices laissent à penser que la « popularité » d’une page, avec tout ce= que ce mode de classement peut parfois pr= oduire d’absurde et d’inefficace, si elle continue d’être= un critère de classement déterminant= , est de plus en plus pondérée par d’autres métriques= , sur lesquels règne la plus grande obscurité.

Les= outils de linguistique statistique mis en œuvre sont de plus en plus raffinés, donc difficiles &agr= ave; évaluer pour le profane et même pour le spécialiste, e= t de toute façon les formules emplo= yées sont tenues secrètes et changées continuellement. La raison tient à l’importance str= atégique d’un bon classement : les moteurs de recherche sont devenus la première porte d’entr&ea= cute;e du web pour les internautes, et par ailleurs ceux-ci ne consultent guère que la première o= u au mieux les deux ou trois premières pages de résultats. On comprend que certains responsables de= sites Internet soient prêts à toutes les astuces pour obtenir un bo= n classement – on parle d’un bon référencement. Il s’agit par exemple de créer d= eux versions d’une même page, l’une lisible par un humain, l’autre illisible mais construite uniquement pour correspondre aux critères d’évaluation d’un ou des moteurs de recherche.

Ce qui revient à fausser la pertinenc= e des résultats pour l’internaute, ce qui nuit à la crédibilité du moteur de recherche – d’où le secret sur les formules exactes permettant le classement des pages ; d’où le perpétuel ajustement de ces formules en foncti= on des nouvelles astuces déploy&e= acute;es pour obtenir une bonne place ; d’où, même, des procédures de punition des petits malins avérés ou potentiels. Ainsi, si une page connaît une ascension par trop fulgurante dans les classements, elle est automatiquement considérée comme suspe= cte et peut se voir rétrograd&eacu= te;e, voire exclue.

La visibilité d’un contenu en l= igne dans les moteurs de recherche dépend donc de deux paramètres : premièrement, a-t-il été repéré par le logiciel de collecte, fait-il partie du stock ? Deuxièmement, correspond-il aux critères du logiciel de classement ? Le fonctionnement du deuxième, en particulier, est pour l’essentiel opaque et seulement connu d’= une firme privée, dont les choix techniques reposent sur une représentation préconçue = du Web et engagent en réalit&eacu= te; des choix éditoriaux masqués, seulement contrebalancés par la nécessité de continuer d’apporter à l’internaute un service que celui-ci = juge fiable.
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Le secret qui entoure le fonction= nement technique des moteurs de recherche amène à parler rapidement= de leur modèle économique. Les moteurs assurent pour l’essentiel un double service de mise en relation : de l’internaute avec l’information qu’il recherche, mais au= ssi du producteur de cette information avec l’internaute qu’il che= rche à atteindre. Et le financement de ce service est assuré par = la publicité, sous diverses formes. Les annonceurs ne paient pour ins&= eacute;rer de la publicité que si les internautes sont au rendez-vous ; les in= ternautes ne viennent que s’ils ont le sentiment d’être orientés vers des contenus de qualité, si possible représentatifs d’un part importante de l’ensemble des contenus existant dans le monde. D’où l’ambition d̵= 7;un Google, par exemple, qui annonce vouloir à terme indexer l’intégralité du savoir humain et entreprend de numériser les bibliothèques. Mais pas question pour Google de commencer à reverser une contrepartie aux producteurs de contenus q= ui l’alimentent, car son modèle économique repose sur l’idée implicite qu’il leur rend un service en les mettant en relation avec= les internautes – d’où des batailles autour des limites du droit d’auteur et des recherches de compromis avec les éditeu= rs attachés à leur copyright. Il va de soi que ce type de contr= aintes oriente la nature des contenus indexés et donc influe sur la pertin= ence des recherches.

Une bonne connaissance technique = de votre outil moteur de recherche et de sa part d’ombre doit s’accompa= gner d’une bonne connaissance du paysage de la recherche sur Internet, paysage en évolution rapide malgré l’écrasante = domination de quelques grands acteurs parce que fortement concurrentiel: le moindre avantage compétitif peut y produire des renversements spectaculaire= s, et les forces engagées sont colossales (cf. Dossier de veille). Les plus de trente ans se rappellent peut-être vaguement d’AltaVis= ta, ils ont certainement oublié qu’il n’y a pas si longtemps tout le monde ne jurait que par lui; les autres n’arrivent sans doute même pas à imaginer l’Internet sans Google… qui n’a pas encore 10 ans.

Aujourd’hui, 3 acteurs se répartissent le marché, soit= par ordre décroissant: Google, Yahoo! et MSN. Aux Etats-Unis les 3 mote= urs font jeu à peu près égal, ou au moins jouent dans la même catégorie; dans le reste du monde, et en France en particulier, Google occupe entre 60% et 80% du terrain. De plus, on sait q= ue près de la moitié des internautes n’utilisent qu’= ;un moteur de recherche et reformulent une requête dont les résul= tats sont jugés insatisfaisants au lieu de l’essayer sur un autre moteur; si on ajoute ceux qui utilisent occasionnellement un autre moteur = de recherche que leur favori, on arrive à plus de 80% de la population= en ligne.

Pour une utilisation efficace, et donc pour une utilisation professionnell= e, il va de soi que le recours à plusieurs moteurs est incontournable. Encore faut-il les connaître, connaître les relations qu’= ;ils entretiennent entre eux; car non seulement FAI, hébergeurs, etc. utilisent les services des grands moteurs pour proposer des outils de recherche à leurs clients, mais certains moteurs eux-mêmes se reposent sur les résultats fournis par d’autres pour proposer leur propre service spécifique. En dehors des moteurs spécialisés, souvent confidentiels ou en devenir économique incertain, le paysage de la recherche en ligne est encore moins diversifié qu’il n’y paraît.

Raison de plus pour regarder d’un peu plus près la qualit&eac= ute; du service proposé par les grands moteurs de recherche, dont les résultats alimentent la quasi-totalité des outils à v= otre disposition.

Pour toute cette partie consacr&e= acute;e à l’évaluation de la pertinence des moteurs de recherc= he, je reprends une étude réalisée dernièrement par Jean Véronis, chercheur enseignant en sciences du langage à l’Université d’Aix-Marseille; l’étude est téléchargeable dans son intégralité sur son bl= og « Technologies du langage », dont je recommande la lecture à tous égards.

La méthodologie est la suivante: chacun des 14 étudiants de = son équipe a choisi un thème (Divertissement, Histoire, Politiqu= e, etc.), et a proposé cinq requêtes à l'intérieur= de ce thème, soit un total de 70 requêtes en tout. Ces requ&ecir= c;tes ont été soumises sur six moteurs avec les mêmes réglages (pages francophones, site parental activé), on a calculé le nombre d'URL communes aux différents moteu= rs sur la première page de 10 résultats (soit 4200 URL en tout).
On constate alors des divergences massives ; Yahoo et Google sont = les plus proches (encore qu'ils diffèrent à 75%!) ; MSN n'est pas trop loin du tandem. Les moteurs français sont plus loin, avec Voila très distant de tous les autres. Ceci ne dit rien sur la qualité, bien sûr: on peut être éloigné d= es autres et être le meilleur (« mais dans le cas de Voila, honnêtement, j'en doute: on sent clairement que le moteur est laissé plus ou moins à l'abandon... », dixit Jean Véronis).

Si l’on s’attache à comparer la position des URL commu= nes à deux moteurs, par contre, on voit apparaître une cohérence pour quatre des moteurs par rapport à Google: Yaho= o, MSN, Exalead et Dir. La concordance n'est évidemment pas parfaite, = mais il y a une tendance prononcée à retourner des positions qui = se ressemblent: si les autres moteurs n'implémentent pas exactement le= PageRank, ils ont manife= stement quelque chose qui y ressemble. Par contre, Voila donne des positions bien = peu corrélées à celles de Google (et en fait de tous les autres moteurs) sur les quelques résultats qu'il donne en commun.
Le même panel de 4200 URL a été étudié sous l’angle de la présence des sites de vente en ligne, et a fait apparaître la prééminence sur ce terrain d’Amazon, Ebay et PriceMinister, avec cette conclusion que Google et Yahoo adorent Amazon ta= ndis que Voila préfère Ebay et PriceMinister et que MSN est relativement neutre.

La même démarche appliquée aux grandes bases de connaissances (sites d'information encyclopédique ou pratique), fait émerger 4 sites: Wikipedia, Yahoo (les différe= nts services: actualités, horoscope, etc.), AlloCiné et <= i>Doctissimo (il y avait une rubrique cinéma et une rubrique santé da= ns les requêtes).
Yahoo (le moteur) adore Wikipedia… avec lequel il a signé l’an dernier un accord de partenariat pour contrer Goog= le et notamment Google Print. L'encyclopédie libre est aussi présente, mais moins, sur Google, Exalead et Dir. MSN n'y fait pas = trop appel (pourquoi concurrencer bêtement le produit Encarta de Microsoft…) et Voila, qui à une époque avait un partenariat (désormais caduc) avec Hachette, ne retourne pas une se= ule page de Wikipedia. « Par contre, il fait très fort sur le cinéma: on voit qu'AlloCiné lui plaît francheme= nt (ah oui, AlloCiné, c'est une société commercia= le, qui a quelques liens avec Orange, qui lui-même..., etc.). &raqu= o;, dixit Jean Véronis.

Les résultats obtenus lors= de la première phase de l’étude ont été soumis à chacun des étudiants qui avait proposé des requêtes (a priori pas des bizuths pour ce qui est de la formulation d’une requête vu leur domaine d’étude…), et= ceux-ci ont évalué, en la notant de 0 à 5, la pertinence des pages auxquelles renvoyaient les URL proposées par les moteurs de recherche.
Google et Yahoo arrivent en tête ex æquo, = avec une note de 2,3, mais le résultat sans doute le plus frappant est le degré de satisfaction très médiocre des utilisateurs.= Aucun des moteurs n’atteint la moyenne (2,5 sur 5) et les notes peuvent même être extrêmement faibles (1,2 pour Voilà). L= es liens notés 0 (c’est-à-dire totalement inutiles) sont étonnamment nombreux: 53,1 % pour Voilà, mais même les meilleurs ne font pas tellement mieux: 28,6 % pour Google et 27,7 % pour Yahoo. A l’inverse, les résultats notés 5 (excellent) = n’atteignent même pas 16 % pour les deux meilleurs moteurs).

Même en restreignant l’étude à la premi&egra= ve;re position dans l’écran de résultats (le lien le plus cliqué par les utilisateurs), les performances sont à peine = meilleures: Google et Yahoo dépassent à peine la moyenne avec 2,9 et 2,8= respectivement.
La proportion de liens à caractère commercial (= non marqués comme sponsorisés) est élevée, puisque elle varie entre 7 et 16% environ selon les moteurs. En soi, la présence de liens commerciaux n’est pas nécessairement= nuisible à la qualité: sur une requête telle que «Harry Potter», faire apparaître la page Amazon où le livre pe= ut être acheté peut être pertinent. Néanmoins, on observe, dans l’état actuel des choses, une nette dégradation des résultats en terme de pertinence perç= ue sur les liens commerciaux, et ce pour tous les moteurs: la note attribuée aux liens commerciaux est systématiquement = inférieure à celle attribuée aux autres résultats. Google et Yah= oo perdent ainsi environ un point sur les liens commerciaux, ce qui est beauc= oup sur une échelle de 5 points, surtout quand la note maximale n’= ;est que de 2,3.

On vient de voir que la pertinenc= e des moteurs de recherche n’est pas absolue; cela ne dispense pas de mett= re tous les atouts de son côté en les utilisant aux mieux de leu= rs capacités; je fais mention en fin de présentation, dans les sources, d’une fiche comparative des fonctionnalités des principaux moteurs. Certaines sont spécifiques et peuvent déterminer le recours ponctuel ou préférentiel &agrav= e; tel ou tel moteur en fonction de ses besoins, mais d’autres sont communes à la plupart d’entre eux, encore que leur implémentation puisse varier.

1. L'usage des guillemets permet de restreindre la recherche &agrav= e; une chaîne de caractère. Par exemple "Web= 2.0"

2. On peut aussi utiliser les opérateurs « + » et « - » pour impose= r la présence d'un mot-clé (ou d'une expression) ou au contraire n'afficher que les pages qui ne contiennent pas ce mot-clé ou cette expression. Exemple : "web= 2.0"= +FING

3. site:fing= .org "'web 2.0'' L'instruction « site: » permet de limiter la recherche d'information à un site en particuli= er, ici celui de la Fondation Internet Nouvelle Génération qui me servira d’exemple dans toute la suite. L'instruction &laqu= o; source: » fonctionne de la même manière et permet de restreindre la rec= herche à un site d'information répertorié par Google News. &= #13;

4. allinurl:= fing web L'instruction « allinurl: » réd= uit la recherche aux pages web dont l'adresse (url) contient l'ensemble des mo= ts. Google ne cherche pas dans le contenu des pages, mais uniquement dans les = URLs des pages.

5. inurl:fin= g.org web skype Avec cette instruction, Google recherche toutes les UR= Ls (également celles contenus dans les pages web) contenant les mots-c= lés fing.org, web et skype.

6. intitle:&= quot;web 2.0" L'instruction « intitle: » restreint la recherche aux pages web dont le titre contient au moins un des mots-clés. L'instruction bénéficie aussi de la variante « allintitle: » qui fonctionne sur le même principe que « allinurl: » : le moteur ne cherc= he alors que les pages web dont le titre contient l'ensemble des mots-cl&eacu= te;s ou l'expression exacte.

7. allintext= : fing.org L'instruction « allintext: » recherche unique= ment les mots-clés et expression présents dans le texte d'une = page web (pas de recherche dans le titre ou l'URL de la page).

8. ~house En utilisant le symbole « ~ »= ; collé au mot-clé recherché, vous pouvez indiquer &agr= ave; Google de rechercher également les pages contenant un synonyme présumé du mot. Dans notre exemple, Google fournit aussi des= résultats contenant le mot-clé « home » qu'il assimile à « house ».

9. site: fing.org 2004..20= 06. Vous pouvez approximer une recherche en utilisant une plage de nombres<= /b>. Par exemple pour trouver tous les articles du site fing.org qui mentionnent des années comprises entre 2004 et 2006.

En résumé, pour trouver sur le site de la FING un article do= nt le titre contient « web 2.0 », il vous suffit de sai= sir la recherche suivante : site: fing.org = intitle:&= quot;web 2.0" . On peut aussi construire des requêtes plus point= ues dont seul le début change, par exemple : dadvsi site:liberation.fr -forum -intitle:f= orums -inurl:imprimer et où il suffit de changer le mot-clé initial pour effectuer une nouvelle recherche. Dans le même esprit, site: fing.org inurl:rs= s permet de trouver très facilement un flux RSS pour un site donné.

(les exemples qui précèdent ont été adapt&eacu= te;s d’une excellente fiche de synthèse proposée par Indexel.net)

Abondance, Webrankinfo et Secrets= 2moteurs sont des sites très complets (et d’un sérieux irréprochable) consacrés aux moteurs de recherche et à leur actualité, avec un fort accent mis sur le référencement et des fiches explicatives plutôt bien faites ; si l’utilisateur de moteurs de recherche a beaucoup à= ; y glaner, la cible première est plutôt le créateur de si= te désireux d’améliorer sa visibilité. Une approche similaire préside à la démarche de Christophe Asselin qui fait vivre Intelligence Center, avec un angle plus orient&eacu= te; vers l’utilisateur, notamment le veilleur. Search Engine Matrix permet une comparaison exhaustive des principaux moteurs de recherche quant à leurs fonctionnalités et à leurs caractéristiques spécifiques. Le répertoire des moteu= rs de recherche… est un répertoire des moteurs de recherche, classés par zone géographique. inFLUX, également = tenu par Christophe Asselin, est un excellent blog consacré à l’actualité de la recherche en ligne ; Technologie du langage= est le blog de Jean Véronis, enseignant chercheur en sciences du langag= es et qui consacre une part importante de ses messages à l’évaluation critique – et scientifique – des principaux moteurs de recherche. C’est sur ces travaux et ceux de son équipe que se fondent la plupart des études comparatives uti= lisées dans cette présentation. Pour ceux qui sont à la recherc= he d’un guide pratique de la recherche sur Internet, l’URFIST a récemment relayé la parution d’un ouvrage qui répond à leur attente; je n’ai pas encore eu l’occasion de le lire, mais les auteurs ont d’excellentes références et l’ouvrage a été généralement bien accueilli – il a le mérite d’être tout récent, ce qui n’est pas indifférent sur un sujet en évolution rapide comme la recher= che sur internet.
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return document.all(id); else return document.getElementById(id); } function SldHasTrans() { return SlideObj.style.filter !=3D ""; } function GetSldId() { return sId=3Dlocation.href.substring(location.href.la= stIndexOf('/')+1) } function HideMenu() { if( frames["PPTSld"] && PPTSld.document.all.item("ctx= tmenu") && PPTSld.ctxtmenu.style.display!=3D"none" ) { PPTSld.ctxtmenu.styl= e.display=3D'none'; return true } return false } function IsWin( name ) { return window.name =3D=3D name } function IsNts() { return IsWin("PPTNts") } function IsSldOrNts() { return( IsWin("PPTSld")||IsWin("PPTNts") ) } function SupportsPPTAnimation() { return( navigator.platform =3D=3D "Win32"= && navigator.appVersion.indexOf("Windows")>0 ) } function SupportsPPTHTML() { var appVer=3Dnavigator.appVersion, msie=3DappVer.indexOf("MSIE "), ver=3D0 if( msie >=3D 0 ) ver=3DparseFloat( appVer.substring( msie+5, appVer.indexOf(";",msie) ) ) else ver=3DparseInt(appVer) return( ver >=3D 4 && msie >=3D 0 ) } function _RSW() { if( !g_supportsPPTHTML || IsNts() || ( !g_scaleInFrame && (!IsWin("PPTSld") || !parent.IsFullScrMode()) ) ) return var padding=3D0; if( IsWin("PPTSld") && parent.IsFramesMode() ) padding=3D6 cltWidth=3Ddocument.body.clientWidth-padding cltHeight=3Ddocument.body.clientHeight-padding factor=3D(1.0*cltWidth)/g_origW if( cltHeight < g_origH*factor ) factor=3D(1.0*cltHeight)/g_origH newSize =3D g_origSz * factor if( newSize < 1 ) newSize=3D1 s=3DSlideObj.style s.fontSize=3DnewSize+"px" s.posWidth=3Dg_origW*factor s.posHeight=3Dg_origH*factor s.posLeft=3D(cltWidth-s.posWidth+padding)/2 s.posTop=3D(cltHeight-s.posHeight+padding)/2 if( g_scaleHyperlinks ) ScaleHyperlinks( factor ) } function _InitAnimations() { animRuntimeInstalled =3D ''+document.body.localTime !=3D 'undefined'; isFullScreen =3D (window.name =3D=3D "PPTSld") && !parent.IsFramesMode(); g_animUseRuntime =3D g_showAnimation && animRuntimeInstalled && !(isFullSc= reen && parent.IsSldVisited()); if( g_animUseRuntime ) { collSeq =3D document.all.tags("seq"); if( collSeq !=3D null ) { for(ii=3D0;ii numSlds ) gSldJumpIdx =3D numSlds; if ( gSldJumpIdx >=3D 0 ) { if ( gSldJumpIdx =3D=3D 0 ) gSldJumpIdx =3D 1; var jumpTo =3D parseInt(gSldJumpIdx); gSldJump =3D 0; gSldJumpIdx =3D ""; win.GoToSld( parent.GetSldList().mList[jumpTo-1].mSldHref ) } } } function _KDH() { if( event.keyCode =3D=3D 8 ) { event.returnValue =3D 0; parent.GoToPrevSld(); } } var g_HLinkArray =3D new Array(); =20 function IMapAreaObj( areaObj, coords ) { this.areaObj =3D areaObj; this.coords =3D coords; } function InitHLinkArray() { var appVer =3D navigator.appVersion; var msie =3D appVer.indexOf ( "MSIE " ) var ver =3D 0; if ( msie >=3D 0 ) ver =3D parseInt ( appVer.substring( msie+5 ) ); linkNum =3D 0; for (i=3D0; i 4 ) ) g_HLinkArray[linkNum++] =3D new IMapAreaObj( areaObj, ParseCoords( ar= eaObj.coords ) ); } } function ScaleHyperlinks( factor ) { =20 for ( ii=3D0; ii< g_HLinkArray.length; ii++) { coordsStr=3D""; imaObj =3D g_HLinkArray[ii]; for ( jj=3D0; jj < imaObj.coords.length-1; jj++ ) coordsStr +=3D (imaObj.coords[jj]*factor) + ","; coordsStr +=3D (imaObj.coords[jj]*factor); imaObj.areaObj.coords =3D coordsStr; } } function ParseCoords( coordsStr ) { var numArray =3D new Array(); var i =3D curPos =3D commaPos =3D 0; while ( ( commaPos =3D coordsStr.indexOf(",", curPos) ) !=3D -1 ) {=20 numArray[i++] =3D parseInt( coordsStr.substr( curPos, commaPos ) ); curPos =3D commaPos + 1; } numArray[i] =3D parseInt( coordsStr.substr( curPos ) ); return numArray; } function DocumentOnClick() { if( IsNts() || parent.HideMenu() ) return; if( ( g_allowAdvOnClick && !parent.IsFramesMode() ) || (event && (event.keyCode=3D=3D32) ) ) parent.GoToNextSld(); } var g_supportsPPTHTML =3D SupportsPPTHTML(), g_scaleInFrame =3D 1, gId=3D""= , g_bgSound=3D"", g_scaleHyperlinks =3D false, g_allowAdvOnClick =3D 1, g_showInBrowser = =3D 0, gLoopCont =3D 0, gUseSldTimings =3D 1; var g_showAnimation =3D g_supportsPPTHTML && SupportsPPTAnimation() && ( (w= indow.name=3D=3D"PPTSld" && !parent.IsFramesMode()) || g_showInBrowser );va= r g_animManager =3D null; var g_animUseRuntime =3D false; var g_animItemsToHide, g_animInteractiveItems, g_animSlideTime; var g_animMainSequence =3D null; var ENDSHOW_MESG=3D"Fin du diaporama, cliquez pour quitter.", SCREEN_MODE= =3D"Frames", gIsEndShow=3D0, NUM_VIS_SLDS=3D14, SCRIPT_HREF=3D"script.js", = FULLSCR_HREF=3D"fullscreen.htm"; var gCurSld =3D gPrevSld =3D 1, g_offset =3D 0, gNtsOpen =3D gHasNts =3D gO= tlTxtExp =3D 0, gHasNarration =3D 0, gOtlOpen =3D true window.gPPTHTML=3DSupportsPPTHTML() var gMainDoc=3Dnew Array(new hrefList("slide0001.htm",1,-1,1),new hrefList(= "slide0002.htm",1,-1,1),new hrefList("slide0011.htm",1,-1,1),new hrefList("= slide0022.htm",1,-1,1),new hrefList("slide0015.htm",1,-1,1),new hrefList("s= lide0023.htm",1,-1,1),new hrefList("slide0017.htm",1,-1,1),new hrefList("sl= ide0019.htm",1,-1,1),new hrefList("slide0020.htm",1,-1,1),new hrefList("sli= de0021.htm",1,-1,1),new hrefList("slide0014.htm",1,-1,1),new hrefList("slid= e0018.htm",1,-1,1),new hrefList("slide0012.htm",1,-1,1),new hrefList("slide= 0010.htm",1,-1,1)); /********************************************* Frameset functions These functions control slide navigation and state of the frameset. **********************************************/ function FullScrInit() { g_allowAdvOnClick =3D GetCurSld().mAdvOnClk document.body.style.backgroundColor=3D"black" document.oncontextmenu=3Dparent._CM; document.onkeydown =3D _KDH; document.ondragstart=3DCancel document.onselectstart=3DCancel self.focus() } function Redirect( frmId ) {=09 var str=3Ddocument.location.hash,idx=3Dstr.indexOf('#'), sId=3DGetSldId() if(idx>=3D0) str=3Dstr.substr(1); if( window.name !=3D frmId && ( sId !=3D str) ) { obj =3D GetObj("Main-File") window.location.href=3Dobj.href+"#"+sId return 1 } return 0 } var MHTMLPrefix =3D CalculateMHTMLPrefix();=20 function CalculateMHTMLPrefix() { if ( document.location.protocol =3D=3D 'mhtml:') {=20 href=3Dnew String(document.location.href)=20 Start=3Dhref.indexOf('!')+1=20 End=3Dhref.lastIndexOf('/')+1=20 if (End < Start)=20 return href.substring(0, Start)=20 else=20 return href.substring(0, End)=20 } return ''; } function GetTags(base,tag) { if(g_supportsPPTHTML) return base.all.tags(tag); else return base.getElementsByTagName(tag); } function UpdNtsPane(){ if(frames["PPTNts"]) PPTNts.location.replace( MHTMLP= refix+GetHrefObj( gCurSld ).mNtsHref ) } function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() } function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() } function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() } function SetHasNts( fVal ) { if( gHasNts !=3D fVal ) { gHasNts=3DfVal UpdNavPane() } } function ToggleOtlText() { gOtlTxtExp=3D!gOtlTxtExp UpdOtlPane() } function ClearMedia() { // Clear any sounds playing before launching another browser window. Other= wise, // in fullscreen mode, you'll continue to hear the sound in the frames mod= e. if (PPTSld.pptSound) PPTSld.pptSound.loop =3D 0; } function FullScreen() {=20 if ( PPTSld.g_animUseRuntime ) PPTSld.document.body.pause(); ClearMedia(); var href =3D ( document.location.protocol =3D=3D 'mhtml:') ? FULLSCR_HREF = : FULLSCR_HREF+"#"+GetHrefObj(gCurSld).mSldHref; if(PPTNav.event.ctrlKey) { var w =3D (window.screen.availWidth * 1.0) / 2.0 var h =3D w * (PPTSld.g_origH * 1.0) / PPTSld.g_origW win =3D window.open( MHTMLPrefix+href,null,"toolbar=3D0,resizable=3D1,top= =3D0,left=3D0," + "width=3D"+ w + ",height=3D" + h ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } else { win =3D window.open( MHTMLPrefix+href,null,"fullscreen=3Dyes" ); if( win.document.body && PPTSld.g_animUseRuntime ) win.document.body.PPTSldFrameset=3Dwindow; } } function ToggleVNarration() { rObj=3DPPTSld.document.all("NSPlay") if( rObj && !PPTSld.g_animUseRuntime ) { if( (rObj.playState =3D=3D 1)||(rObj.playState =3D=3D 0) ) rObj.Play() else if( rObj.playState =3D=3D 2 ) rObj.Pause() else return; } else if( PPTSld.g_animUseRuntime ) { narObj =3D PPTSld.document.all("narrationID") if( narObj ) narObj.togglePause() } } function GetCurSldNum() { =20 obj=3DGetHrefObj(gCurSld) if( obj.mOrigVis =3D=3D 1 ) return obj.mSldIdx else =20 return gCurSld } function GetNumSlds() { =20 if( GetHrefObj(gCurSld).mOrigVis =3D=3D 1 ) return GetSldList().mNumVisSlds; else return GetSldList().mList.length } function GetSldNum( href ) { for(ii=3D0; ii 1 ) PopSldList(); else if( !IsFramesMode() ) { if( gLoopCont ) GoToFirst() else EndShow() } } function GoToPrevSld() { ii=3DgCurSld-1 if( ii > 0 ) { obj=3DGetHrefObj(ii) while ( obj && ( obj.mVis =3D=3D 0 ) && ( ii>0 ) ) obj=3DGetHrefObj(--ii) if( ii =3D=3D 0 ) ii=3D1 GoToSldNum(ii) } } function GoToFirst(){ GoToSld( GetHrefObj(1).mSldHref ) } function GoToLast() { ii=3DGetSldList().mList.length if( ii !=3D gCurSld ) GoToSld( GetHrefObj(ii).mSldHref ) } function GoToSldNum( num ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue obj =3D GetHrefObj( num ) obj.mVis=3D1 gPrevSld=3DgCurSld gCurSld =3D num; PPTSld.location.replace(MHTMLPrefix+obj.mSldHref) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function GoToSld( href ) { if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue GetHrefObj( GetSldNum(href) ).mVis=3D1 PPTSld.location.replace(MHTMLPrefix+href) } function SldUpdated( id ) { if( id =3D=3D GetHrefObj(gCurSld).mSldHref ) return gPrevSld=3DgCurSld gCurSld=3DGetSldNum(id) if( IsFramesMode() ) { UpdNavPane(); UpdOtlPane(); UpdNtsPane() } } function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) } function HasPrevSld() { return ( gIsEndShow || ( gCurSld !=3D 1 && GetHrefO= bj( gCurSld-1 ).mVis =3D=3D 1 )||( GetCurSldNum() > 1 ) ) } function HasNextSld() { return (GetCurSldNum() !=3D GetNumSlds()) } function CloseWindow() { if( HideMenu() ) return; =09 var event =3D PPTSld.event; if( !IsFramesMode() && event && (event.keyCode=3D=3D27 || event.keyCode=3D= =3D32 || event.type=3D=3D"click" ) ) window.close( self ); CatchNumKeys( self, event ); } function Unload() { gIsEndShow=3D0; } function SetupEndShow() { gIsEndShow=3D1; PPTSld.document.body.scroll=3D"no"; PPTSld.document.onkeypress=3DCloseWindow; PPTSld.document.onclick=3DCloseWindow; PPTSld.document.oncontextmenu=3D_CM; } function EndShow() { if( IsFramesMode() ) return if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue doc=3DPPTSld.document var dir =3D doc.body.dir if( dir !=3D "rtl" ) dir =3D "ltr"; doc.open() doc.writeln('

' + ENDSHOW_MESG + '
') doc.close() } function SetSldVisited(){ GetSldList().mList[gCurSld-1].mVisited=3Dtrue } function IsSldVisited(){ return GetSldList().mList[gCurSld-1].mVisited } function hrefList( sldHref, visible, advDelay, advClk ) { this.mSldHref=3D this.mNtsHref =3D sldHref this.mOrigVis=3D this.mVis =3D visible this.mVisited=3D false this.mAdvDelay=3D advDelay this.mAdvOnClk=3D advClk } function SldList(arr,curSld,fEnd) { this.mCurSld =3D curSld; this.mList =3D new Array(); var idx =3D 1; for(ii=3D0;ii 0) { PushSldList(sldList,fEnd); gCurSld =3D 1; } else if( PPTSld.event ) PPTSld.event.cancelBubble=3Dtrue } function PushSldList(arr,fEnd) { var ii =3D gSldStack.length; gSldStack[ii] =3D new SldList(arr,gCurSld,fEnd); GoToSld( gSldStack[ii].mList[0].mSldHref ); } function PopSldList() { if (gSldStack[gSldStack.length-1].fEndShow) EndShow() else { gCurSld =3D gSldStack[gSldStack.length-1].mCurSld; gSldStack[gSldStack.length-1] =3D null; gSldStack.length--; var sldList =3D gSldStack[gSldStack.length-1]; GoToSld( sldList.mList[gCurSld - 1].mSldHref ); } } var custShowList=3Dnew Array(); /********************************************* Navigation button implementation There are 2 types of buttons: ImgBtn, TxtBtn implemented as function objects. They share a similiar interface so the event handlers can call SetActive, for example, on a button=20 object without needing to know exactly=20 what type of button it is. **********************************************/ //---------------------------------- function ImgBtn( oId,bId,w,action ) //---------------------------------- { var t=3Dthis t.Perform =3D _IBP t.SetActive =3D _IBSetA t.SetInactive=3D _IBSetI t.SetPressed =3D _IBSetP t.SetDisabled=3D _IBSetD t.Enabled =3D _IBSetE t.ChangeIcon =3D null t.UserAction =3D action t.ChgState =3D _IBUI t.mObjId =3D oId t.mBorderId=3D bId t.mWidth =3D w t.mIsOn =3D t.mCurState =3D 0 } function _IBSetA() { if( this.mIsOn ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _IBSetI() { if( this.mIsOn ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0=20 } } function _IBSetP() { if( this.mIsOn ) { obj=3Dthis.ChgState( gShadowClr,gHiliteClr,2 ) obj.style.posLeft+=3D1; obj.style.posTop+=3D1 } } function _IBSetD() { =20 obj=3Dthis.ChgState( gFaceClr,gFaceClr,0 ) obj.style.posTop=3D0=20 } function _IBSetE( state ) { var t=3Dthis GetObj( t.mBorderId ).style.visibility=3D"visible" if( state !=3D t.mIsOn ) { t.mIsOn=3Dstate if( state ) t.SetInactive() else t.SetDisabled() } } function _IBP() { var t=3Dthis if( t.mIsOn ) { if( t.UserAction !=3D null ) t.UserAction() if( t.ChangeIcon ) { obj=3DGetObj(t.mObjId) if( t.ChangeIcon() ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-4)*t.mWidth else obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-0)*t.mWidth } t.SetActive() } =20 } function _IBUI( clr1,clr2,nextState ) { var t=3Dthis SetBorder( GetObj( t.mBorderId ),clr1,clr2 ) obj=3DGetObj( t.mObjId ) obj.style.posLeft=3Dobj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj= .style.posTop t.mCurState=3DnextState return obj } //----------------------------------------- function TxtBtn( oId,oeId,action,chkState ) //----------------------------------------- { var t=3Dthis t.Perform =3D _TBP t.SetActive =3D _TBSetA t.SetInactive=3D _TBSetI t.SetPressed =3D _TBSetP t.SetDisabled=3D _TBSetD t.SetEnabled =3D _TBSetE t.GetState =3D chkState t.UserAction =3D action t.ChgState =3D _TBUI t.mObjId =3D oId t.m_elementsId=3D oeId t.mIsOn =3D 1 } function _TBSetA() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gHiliteClr,gShadowClr,0,0 ) } function _TBSetI() { var t=3Dthis if( t.mIsOn && !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) } function _TBSetP() { if( this.mIsOn ) this.ChgState( gShadowClr,gHiliteClr,1,1 ) } function _TBSetD() { =20 this.ChgState( gFaceClr,gFaceClr,0,0 ) this.mIsOn =3D 0 } function _TBSetE() { var t=3Dthis if( !t.GetState() ) t.ChgState( gFaceClr,gFaceClr,0,0 ) else t.ChgState( gShadowClr,gHiliteClr,1,1 ) t.mIsOn =3D 1 } function _TBP() { var t=3Dthis if( t.mIsOn ) {=20 if( t.UserAction !=3D null ) t.UserAction() if( !t.GetState ) return if( t.GetState() ) t.SetPressed() else t.SetActive() } =20 } function _TBUI( clr1,clr2,lOffset,tOffset ) { SetBorder( GetObj( this.mObjId ),clr1,clr2 ) Offset( GetObj( this.m_elementsId ),lOffset,tOffset ) } function Offset( obj, top, left ){ obj.style.top=3Dtop; obj.style.left=3Dle= ft } function SetBorder( obj, upperLeft, lowerRight ) { s=3Dobj.style; s.borderStyle =3D "solid" s.borderWidth =3D 1=20 s.borderLeftColor =3D s.borderTopColor =3D upperLeft s.borderBottomColor=3D s.borderRightColor =3D lowerRight } function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] } function BtnOnOver(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetActive() } function BtnOnDown(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetPressed() } function BtnOnOut(){ b=3DGetBtnObj(); if( b !=3D null ) b.SetInactive() } function BtnOnUp() { b=3DGetBtnObj() if( b !=3D null ) b.Perform() else Upd() } function GetNtsState(){ return parent.gNtsOpen } function GetOtlState(){ return parent.gOtlOpen } function GetOtlTxtState(){ return parent.gOtlTxtExp } function NtsBtnSetFlag( fVal ) { s=3Ddocument.all.item( this.m_flagId ).style s.display=3D"none" if( fVal ) s.display=3D"" else s.display=3D"none" } function _BSetA_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etActive() } function _BSetI_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etInactive() } function _BSetP_Border(){ b =3D gBtnArr[this.mObjId]; if( b !=3D null ) b.S= etPressed() } function _BSetA_BorderImg() {=20 b =3D gBtnArr[this.mBorderId]=20 if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gHiliteClr,gShadowClr,2 ) obj.style.posTop=3D0 } } function _BSetI_BorderImg() {=20 b =3D gBtnArr[this.mBorderId] if( b !=3D null && this.mIsOn && !b.GetState() ) { obj=3Dthis.ChgState( gFaceClr,gFaceClr,1 ) obj.style.posTop=3D0 } } var gHiliteClr=3D"THREEDHIGHLIGHT",gShadowClr=3D"THREEDSHADOW",gFaceClr=3D"= THREEDFACE" var gBtnArr =3D new Array() gBtnArr["nb_otl"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPan= e,GetOtlState ) gBtnArr["nb_otlElem"] =3D new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOt= lPane,GetOtlState ) gBtnArr["nb_nts"] =3D new ImgBtn( "nb_nts","nb_ntsBorder",10,parent.ToggleN= tsPane ) gBtnArr["nb_nts"].SetActive =3D _BSetA_BorderImg; gBtnArr["nb_nts"].SetInactive =3D _BSetI_BorderImg; gBtnArr["nb_ntsBorder"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.= ToggleNtsPane,GetNtsState ) gBtnArr["nb_ntsElem"] =3D new TxtBtn( "nb_ntsBorder","nb_ntsElem",parent.To= ggleNtsPane,GetNtsState ) gBtnArr["nb_prevBorder"] =3D gBtnArr["nb_prev"]=3D new ImgBtn( "nb_prev","n= b_prevBorder",30,parent.GoToPrevSld ) gBtnArr["nb_nextBorder"] =3D gBtnArr["nb_next"]=3D new ImgBtn( "nb_next","n= b_nextBorder",30,parent.GoToNextSld ) gBtnArr["nb_sldshw"]=3D new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent= .FullScreen ) gBtnArr["nb_sldshwBorder"] =3D new TxtBtn( "nb_sldshw","nb_sldshwBorder",pa= rent.FullScreen,null ) gBtnArr["nb_sldshwBorder"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwBorder"].SetInactive =3D _BSetI_Border; gBtnArr["nb_sldshwText"] =3D new TxtBtn( "nb_sldshw","nb_sldshwText",parent= .FullScreen,null ) gBtnArr["nb_sldshwText"].SetActive =3D _BSetA_Border; gBtnArr["nb_sldshwText"].SetInactive =3D _BSetI_Border; gBtnArr["nb_voice"] =3D gBtnArr["nb_voiceBorder"] =3D new ImgBtn( "nb_voice= ","nb_voiceBorder",18,parent.ToggleVNarration ) gBtnArr["nb_otlTxtBorder"] =3D gBtnArr["nb_otlTxt"]=3D new ImgBtn( "nb_otlT= xt","nb_otlTxtBorder",23,parent.ToggleOtlText ) gBtnArr["nb_ntsBorder"].m_flagId=3D "nb_nts" gBtnArr["nb_ntsBorder"].SetFlag =3D NtsBtnSetFlag gBtnArr["nb_otlTxt"].ChangeIcon=3D GetOtlTxtState /********************************************* Context menu implementation _CM() is the function that's hooked up to the oncontextmenu event. Once we're asked to show the menu, we first build it by creating DIVs on-the-fly. Then we position it=20 within the screen area so it doesn't get clipped. Creating the DIVs using createElement() means we don't have to write out any extra HTML into the slide HTML files. **********************************************/ var sNext=3D"Suivant",sPrev=3D"Précédent",sEnd=3D"Mettre fin = au diaporama",sFont=3D"Arial",sArrow=3D"Flèche",sFreeform=3D"Forme l= ibre",sRect=3D"Rectangle",sOval=3D"Ovale" function ShowMenu() { BuildMenu(); var doc=3DPPTSld.document.body,x=3DPPTSld.event.clientX+doc.scrollLeft,y= =3DPPTSld.event.clientY+doc.scrollTop m =3D PPTSld.document.all.item("ctxtmenu") m.style.pixelLeft=3Dx if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) ) m.style.pixelLeft=3Dx-m.scrollWidth m.style.pixelTop=3Dy if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) ) m.style.pixelTop=3Dy-m.scrollHeight m.style.display=3D"" } function _CM() { if( !parent.IsFullScrMode() ) return; if(!PPTSld.event.ctrlKey) { ShowMenu() return false } else HideMenu() } function BuildMenu() { if( PPTSld.document.all.item("ctxtmenu") ) return var mObj=3DCreateItem( PPTSld.document.body ) mObj.id=3D"ctxtmenu" mObj.style.visibility=3D"hidden" var s=3DmObj.style s.position=3D"absolute" s.cursor=3D"default" s.width=3D"120px" SetCMBorder(mObj,"menu","black") var iObj=3DCreateItem( mObj ) SetCMBorder( iObj, "threedhighlight","threedshadow" ) iObj.style.padding=3D2 CreateMenuItem( iObj,sNext,M_GoNextSld,M_True ) CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld ) =09 CreateSeparator( iObj ) CreateMenuItem( iObj,sEnd,M_End,M_True ) mObj.style.visibility=3D"visible" } function Cancel() { window.event.cancelBubble=3Dtrue; 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charset="us-ascii" Comment les moteurs recherchent ------=_NextPart_01C6734D.58C29120 Content-Location: file:///C:/968A9965/recherche_fichiers/outline.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii"

Re= marques

Diaporama=

Plan

1

Comment
les moteurs
recherchent

Eric Culnaërt

Responsable de la veille

Aquitaine Europe Communication

www.aecom.org

2

Annuaires et répertoires :
un service ponctuel

Les annuaires généralistes sont à l’agoni= e

Les annuaires spécialisés restent de bons points d’entrée pour des recherches spécifiques

3

Moteurs de reche= rche :
principes de fonctionnement

Indexation

Constitution d’un grand « réservoir de pages »: le cache

De l’ordre d’une dizaine de milliards de pages pour les grands moteurs

Mais une portion infime de l’information disponible en ligne<= /li>

Classement des résultats

À chaque requête, tri des résultats selon le contenu des pages

Classement, notion de « Page rank » (popularité)=

4

Classement des résultats :
une formule secrète

Enjeu stratégique du classement

L’internaute ne consulte généralement que la première page de résultats

Les sites sont prêts à tout pour arriver en tête= de classement

Pour rester crédible, le moteur de recherche doit garder secrète sa formule de classement

Sans compter que la concurrence veille…

Les résultats ne sont objectifs qu’en apparence

5

Moteurs de reche= rche :
modèle économique

Mise en relation

De l’internaute avec l’information qu’il recherch= e

Des éditeurs de contenus avec l’internaute

Des annonceurs avec leur cible

Financer le service

Par la publicité

En ne payant pas pour les contenus indexés

6

Moteurs de reche= rche :
l’écosystème

7

Pertinence des m= oteurs :
les index diffèrent, les résultats aussi

Requêtes identiques sur Google,Yahoo!, MSN, Exalead, Dir et Vo= ila :

Sur 4200 URL retournées, 80% sont citées par un seul moteur

8

Pertinence des m= oteurs :
des critères passés sous silence

Les partenariats économiques et stratégiques influent = sur les résultats

9

Pertinence des m= oteurs :
des résultats plus ou moins propres

La proportion de liens « morts » est variable<= /li>

selon les moteurs

selon les jours

10

Pertinence des = moteurs :
qu’en pense l’utilisateur ?

11

Moteurs de rech= erche :
fonctions avancées

Utiliser plusieurs moteurs de recherche, c’est bien; bien les utiliser, c’est encore mieux:

Choix des mots-clés

Recours aux opérateurs et aux modificateurs

12

Moteurs de rech= erche :
moteurs alternatifs et spécialisés

Recherche « sémantique »:

Hakia (lien), Qristal…

Par secteur d’activité:

Hippocrates (lien) pour le médical

Kosmix (lien) pour le politique

Accoona (lien) pour l’économique

Par domaine linguistique ou culturel:

Vigoos (lien)

Par type de sources:

Omgili (lien) pour les forums

Technorati (lien) pour les blogs

Rel8r (lien) pour les « tags »

Recherche collaborative:

Prefound (lien)

Catégorisation des résultats:

Infocious (lien), Kosmix (lien)

13

Moteurs de rech= erche :
les grandes tendances d’évolution

Indexer les contenus multimédia

Cartographie et recherche locale

« catégorisation » (clustering)

Personnalisation par captation d’informations personnelles

Recherche « sur le bureau »: indexer le contenu des ordinateurs personnels, des intranets d’entreprise, etc.
Intégration des phénomènes dits « web 2.0 »

L’amélioration des algorithmes de recherche proprement dits, et notamment les travaux sur l’analyse sémantique, semblent en panne.

14

Pour aller plus= loin :
quelques sites et ouvrages

Abondance (lien)

WebRankInfo (lien)

Secrets2moteurs (lien)

Intelligence center (lien)

Search Engine Matrix (lien)

Répertoire des moteurs de recherche (lien)

inFLUX>rechercher sur le net (lien)

Technologies du langage (lien)

Net recherche : Le guide pratique pour mieux trouver l'information u= tile (lien)

= = = = = = = = = = =
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	Les ou= tils de linguistique statistique mis en œuvre sont de plus en plus raffinés, donc difficiles à évaluer pour le profane = et même pour le spécialiste, et de toute façon les formu= les employées sont tenues secrètes et changées continuellement. La raison tient à l’importance stratégique d’un bon classement : les moteurs de recherche s= ont devenus la première porte d’entrée du web pour les in= ternautes, et par ailleurs ceux-ci ne consultent guère que la première= ou au mieux les deux ou trois premières pages de résultats. On comprend que certains responsables de sites Internet soient prêts à toutes les astuces pour obtenir un bon classement – on par= le d’un bon référencement. Il s’agit par exemple de créer deux versions d’une même page, l’une lisib= le par un humain, l’autre illisible mais construite uniquement pour correspondre aux critères d’évaluation d’un ou = des moteurs de recherche.

	Ce qui= revient à fausser la pertinence des résultats pour l’internau= te, ce qui nuit à la crédibilité du moteur de recherche – d’où le secret sur les formules exactes permettant le classement des pages ; d’où le perpétuel ajustement de ces formules en fonction des nouvelles astuces déployées po= ur obtenir une bonne place ; d’où, même, des procédures de punition des petits malins avérés ou potentiels. Ainsi, si une page connaît une ascension par trop fulgurante dans les classements, elle est automatiquement considérée comme suspecte et peut se voir rétrogradée, voire exclue.

	La vis= ibilité d’un contenu en ligne dans les moteurs de recherche dépend d= onc de deux paramètres : premièrement, a-t-il été repéré par le logiciel de collecte, fait-il partie du stock= ? Deuxièmement, correspond-il aux critères du logiciel de classement ? Le fonctionnement du deuxième, en particulier, est po= ur l’essentiel opaque et seulement connu d’une firme privé= ;e, dont les choix techniques reposent sur une représentation préconçue du Web et engagent en réalité des c= hoix éditoriaux masqués, seulement contrebalancés par la nécessité de continuer d’apporter à l’in= ternaute un service que celui-ci juge fiable.


	Le sec= ret qui entoure le fonctionnement technique des moteurs de recherche amène à parler rapidement de leur modèle économique. Les moteurs assurent pour l’essentiel un double service de mise en rela= tion : de l’internaute avec l’information qu’il recherche, m= ais aussi du producteur de cette information avec l’internaute qu’= ;il cherche à atteindre. Et le financement de ce service est assur&eac= ute; par la publicité, sous diverses formes. Les annonceurs ne paient p= our insérer de la publicité que si les internautes sont au rendez-vous ; les internautes ne viennent que s’ils ont le sentiment d’être orientés vers des contenus de qualité, si possible représentatifs d’un part importante de l’ense= mble des contenus existant dans le monde. D’où l’ambition d’un Google, par exemple, qui annonce vouloir à terme indexer l’intégralité du savoir humain et entreprend de numériser les bibliothèques. Mais pas question pour Google = de commencer à reverser une contrepartie aux producteurs de contenus = qui l’alimentent, car son modèle économique repose sur l’idée implicite qu’il leur rend un service en les met= tant en relation avec les internautes – d’où des batailles autour des limites du droit d’auteur et des recherches de compromis avec les éditeurs attachés à leur copyright. Il va de soi que ce type de contraintes oriente la nature des contenus index&eacut= e;s et donc influe sur la pertinence des recherches.


	Une bo= nne connaissance technique de votre outil moteur de recherche et de sa part d’ombre doit s’accompagner d’une bonne connaissance du paysage de la recherche sur Internet, paysage en évolution rapide malgré l’écrasante domination de quelques grands acte= urs parce que fortement concurrentiel: le moindre avantage compétitif = peut y produire des renversements spectaculaires, et les forces engagées sont colossales (cf. Dossier de veille). Les plus de trente ans se rappel= lent peut-être vaguement d’AltaVista, ils ont certainement oublié qu’il n’y a pas si longtemps tout le monde ne jurait que par lui; les autres n’arrivent sans doute même pas à imaginer l’Internet sans Google… qui n’a pas encore 10 ans.

	Aujour= d’hui, 3 acteurs se répartissent le marché, soit par ordre décroissant: Google, Yahoo! et MSN. Aux Etats-Unis les 3 moteurs f= ont jeu à peu près égal, ou au moins jouent dans la même catégorie; dans le reste du monde, et en France en particulier, Google occupe entre 60% et 80% du terrain. De plus, on sait = que près de la moitié des internautes n’utilisent qu̵= 7;un moteur de recherche et reformulent une requête dont les résultats sont jugés insatisfaisants au lieu de l’ess= ayer sur un autre moteur; si on ajoute ceux qui utilisent occasionnellement un autre moteur de recherche que leur favori, on arrive à plus de 80%= de la population en ligne.

	Pour u= ne utilisation efficace, et donc pour une utilisation professionnelle, il va de soi que = le recours à plusieurs moteurs est incontournable. Encore faut-il les connaître, connaître les relations qu’ils entretiennent entre eux; car non seulement FAI, hébergeurs, etc. utilisent les services des grands moteurs pour proposer des outils de recherche à leurs clients, mais certains moteurs eux-mêmes se reposent sur les résultats fournis par d’autres pour proposer leur propre ser= vice spécifique. En dehors des moteurs spécialisés, souve= nt confidentiels ou en devenir économique incertain, le paysage de la recherche en ligne est encore moins diversifié qu’il n’= ;y paraît.

	Raison= de plus pour regarder d’un peu plus près la qualité du service proposé par les grands moteurs de recherche, dont les résul= tats alimentent la quasi-totalité des outils à votre disposition= .


	Pour t= oute cette partie consacrée à l’évaluation de la pertinen= ce des moteurs de recherche, je reprends une étude réalis&eacu= te;e dernièrement par Jean Véronis, chercheur enseignant en scie= nces du langage à l’Université d’Aix-Marseille; l’étude est téléchargeable dans son intégralité sur son blog « Technologies du langage », dont je recommande la lecture à tous égards.

	La méthodologie est la suivante: chacun des 14 étudiants de son équipe a choisi un thème (Divertissement, Histoire, Politiq= ue, etc.), et a proposé cinq requêtes à l'intérieu= r de ce thème, soit un total de 70 requêtes en tout. Ces requêtes ont été soumises sur six moteurs avec les mêmes réglages (pages francophones, site parental activé), on a calculé le nombre d'URL communes aux différents moteurs sur la première page de 10 résult= ats (soit 4200 URL en tout).
	On constate alors des divergences massives ; Yahoo et Google sont les plus proches (encore qu'ils diffèrent à 75%!) ; MSN n'e= st pas trop loin du tandem. Les moteurs français sont plus loin, avec Voila très distant de tous les autres. Ceci ne dit rien sur la qua= lité, bien sûr: on peut être éloigné des autres et être le meilleur (« mais dans le cas de Voila, honnêtement, j'en doute: on sent clairement que le moteur est laissé plus ou moins à l'abandon... », dixit Jean Véronis). Si l’on s’attache à comparer la position des URL communes à deux moteurs, par contre, on voit apparaître une cohérence pour quatre des moteurs par rapport à Google: Yah= oo, MSN, Exalead et Dir. La concordance n'est évidemment pas parfaite, mais il y a une tendance prononcée à retourner des positions qui se ressemblent: si les autres moteurs n'implémentent pas exact= ement le PageRank, ils ont manifestement quelque chose qui y ressemble. Par con= tre, Voila donne des positions bien peu corrélées à celle= s de Google (et en fait de tous les autres moteurs) sur les quelques résultats qu'il donne en commun.


	Le m&e= circ;me panel de 4200 URL a été étudié sous l’angle d= e la présence des sites de vente en ligne, et a fait apparaître la prééminence sur ce terrain d’Amazon, Ebay et PriceMinister, avec cette conclusion que Google et Yahoo adorent Amazon tandis que Voila préfère Ebay et PriceMinister et que MSN e= st relativement neutre.

	La m&e= circ;me démarche appliquée aux grandes bases de connaissances (sites d'information encyclopédique ou pratique), fait émerger 4 sites: Wikipedia, Yahoo (les différents services: actualités, horoscope, etc.), AlloCiné et Doctiss= imo (il y avait une rubrique cinéma et une rubrique santé dans les requêtes).
	Yahoo = (le moteur) adore Wikipedia… avec lequel il a signé l’an dernier un accord de partenariat pour contrer Google et notamment Google Print. L'encyclopédie libre est aussi présente, mais moins,= sur Google, Exalead et Dir. MSN n'y fait pas trop appel (pourquoi concurrencer bêtement le produit Encarta de Microsoft…) et Voila, qui &agr= ave; une époque avait un partenariat (désormais caduc) avec Hachette, ne retourne pas une seule page de Wikipedia. « Par contre, il fait très fort sur le cinéma: on voit qu'Allo= Ciné lui plaît franchement (ah oui, AlloCiné, c'est une société commerciale, qui a quelques liens avec Orange, qui lui-même..., etc.). », dixit Jean Véronis.=


	Les r&= eacute;sultats obtenus lors de la première phase de l’étude ont été soumis à chacun des étudiants qui avait proposé des requêtes (a priori pas des bizuths pour ce qui e= st de la formulation d’une requête vu leur domaine d’étude…), et ceux-ci ont évalué, en la notant de 0 à 5, la pertinence des pages auxquelles renvoyaient les URL proposées par les moteurs de recherche.
	Goo= gle et Yahoo arrivent en tête ex æquo, avec une note de 2,3, mais le résultat sans doute le plus frappant est le degré de satisfaction très médiocre des utilisateurs. Aucun des moteurs n’atteint la moyenne (2,5 sur 5) et les notes peuvent même être extrêmement faibles (1,2 pour Voilà). = Les liens notés 0 (c’est-à-dire totalement inutiles) sont étonnamment nombreux: 53,1 % pour Voilà, mais même les meilleurs ne font pas tellement mieux: 28,6 % pour Google et 27,7 % pour Yahoo. A l’inverse, les résultats notés 5 (excellent) n’atteignent même pas 16 % pour les deux meilleurs moteurs). Même en restreignant l’étude à la premi&eg= rave;re position dans l’écran de résultats (le lien le pl= us cliqué par les utilisateurs), les performances sont à peine meilleures: Google et Yahoo dépassent à peine la moyenne av= ec 2,9 et 2,8 respectivement.
	La pro= portion de liens à caractère commercial (non marqués comme sponsorisés) est élevée, puisque elle varie entre 7 = et 16% environ selon les moteurs. En soi, la présence de liens commerciaux n’est pas nécessairement nuisible à la qu= alité: sur une requête telle que «Harry Potter», faire apparaître la page Amazon où le livre peut être acheté peut être pertinent. Néanmoins, on observe, da= ns l’état actuel des choses, une nette dégradation des résultats en terme de pertinence perçue sur les liens commerciaux, et ce pour tous les moteurs: la note attribuée aux li= ens commerciaux est systématiquement inférieure à celle attribuée aux autres résultats. Google et Yahoo perde= nt ainsi environ un point sur les liens commerciaux, ce qui est beaucoup sur= une échelle de 5 points, surtout quand la note maximale n’est qu= e de 2,3.


	On vie= nt de voir que la pertinence des moteurs de recherche n’est pas absolue; cela ne dispense pas de mettre tous les atouts de son côté en les utilisant aux mieux de leurs capacités; je fais mention en fin de présentation, dans les sources, d’une fiche comparative des fonctionnalités des principaux moteurs. Certaines sont spécifiques et peuvent déterminer le recours ponctuel ou préférentiel à tel ou tel moteur en fonction de ses besoins, mais d’autres sont communes à la plupart d’en= tre eux, encore que leur implémentation puisse varier.

	1. = L'usage des guillemets permet de restreindre la recherche à une chaî= ne de caractère. Par exemple "Web 2.0"

	2.<= /b> On peut aussi utiliser les opérateurs « + »= ; et « - » pour imposer la présence d'un mot-clé (ou d'une expression) ou au contraire n'afficher que les p= ages qui ne contiennent pas ce mot-clé ou cette expression. Exemple&nbs= p;: "web 2.0" +FING

	3.&= nbsp;site:fing.org "'web 2.0'' L'instruction « site: » per= met de limiter la recherche d'information à un site en particulier, ici celui de la Fondation Internet Nouvelle Génération qui me servira d’exemple dans toute la suite. L'instruction « source: » fonctionne de la même manière et permet de restreindre la recherche à un site d'information répertorié par Google News.

	4.<= /b> allinurl:fing web L'instruction « allinurl: » réduit la recherche aux pages web dont l'adresse (url) contient l'ensemble des mots. Google ne cherche pas dans le contenu des pages, mais uniquement dans les URLs des pages.

	5.<= /b> inurl:fing.org web skype Avec cette instruction, Google recherche toutes les URLs (également celles contenus dans les pages web) contenant les mots-clés fing.org, web et skype.

	6.<= /b> intitle:"web 2.0" L'instruction « intitle: » restrei= nt la recherche aux pages web dont le titre contient au moins un des mots-clés. L'instruction bénéficie aussi de la va= riante « allintitle: » qui fonctionne sur le même principe que « allinurl: » : le moteur ne cher= che alors que les pages web dont le titre contient l'ensemble des mots-clés ou l'expression exacte.

	7.<= /b> allintext: fing.org L'instruction « allintext: »= recherche uniquement les mots-clés et expression présents d= ans le texte d'une page web (pas de recherche dans le titre ou l'URL d= e la page).

	8.<= /b> ~house En utilisant le symbole « ~ » collé au mot-clé recherché, vous pouvez indiquer à Google de rechercher également les pages contenant un synonyme présumé du mot. Dans notre exemple, Google fournit aussi des résultats contenant le mot-clé « home &raqu= o; qu'il assimile à « house ».

	9.<= /b> site: fing.org 2004..2006. Vous pouvez approximer une recherche en utilisant une plag= e de nombres. Par exemple pour trouver tous les articles du site fing.org = qui mentionnent des années comprises entre 2004 et 2006.

	En résumé, pour trouver sur le site de la FING un article dont= le titre contient « web 2.0 », il vous suffit de saisi= r la recherche suivante : site: fing.org intitle:"w= eb 2.0" . On peut aussi construire des requêtes plus pointues dont seul le début change, par exemple : dadvsi site:liberation.fr -forum -intitle:forums -inurl:imprimer et où il suffit de changer le mot-clé initial pour effectuer une nouvelle recherche. Dans le même esprit, site: fing.org inurl:rss permet de trouver très facilement un flux RSS pour un site donné.

	(les e= xemples qui précèdent ont été adaptés d’une excellente fiche de synthèse proposée par Indexel.net)


	Abonda= nce, Webrankinfo et Secrets2moteurs sont des sites très complets (et d’un sérieux irréprochable) consacrés aux mote= urs de recherche et à leur actualité, avec un fort accent mis s= ur le référencement et des fiches explicatives plutôt bi= en faites ; si l’utilisateur de moteurs de recherche a beaucoup &agrav= e; y glaner, la cible première est plutôt le créateur de s= ite désireux d’améliorer sa visibilité.
	Une ap= proche similaire préside à la démarche de Christophe Asselin qui fait vivre Intelligence Center, avec un angle plus orienté vers l’utilisateur, notamment le veilleur.
	Search= Engine Matrix permet une comparaison exhaustive des principaux moteurs de recherche qua= nt à leurs fonctionnalités et à leurs caractéristiques spécifiques. Le répertoire des mote= urs de recherche… est un répertoire des moteurs de recherche, classés par zone géographique.
	inFLUX, également tenu par Christophe Asselin, est un excellent blog consacré à l’actualité de la recherche en lign= e ; Technologie du langage est le blog de Jean Véronis, enseignant chercheur en sciences du langages et qui consacre une part importante de = ses messages à l’évaluation critique – et scientifi= que – des principaux moteurs de recherche. C’est sur ces travaux = et ceux de son équipe que se fondent la plupart des études comparatives utilisées dans cette présentation.
	Pour c= eux qui sont à la recherche d’un guide pratique de la recherche sur Inter= net, l’URFIST a récemment relayé la parution d’un ouvrage qui répond à leur attente; je n’ai pas encore= eu l’occasion de le lire, mais les auteurs ont d’excellentes références et l’ouvrage a été généralement bien accueilli – il a le mérite d’être tout récent, ce qui n’est pas indifférent sur un sujet en évolution rapide comme la reche= rche sur internet.

1	Comment les moteurs recherchent Eric Culnaërt Responsable de la veille Aquitaine Europe Communication www.aecom.org
2	Annuaires et répertoires : un service ponctuel Les annuaires généralistes sont à l’agoni= e Les annuaires spécialisés restent de bons points d’entrée pour des recherches spécifiques
3	Moteurs de reche= rche : principes de fonctionnement Indexation Constitution d’un grand « réservoir de pages »: le cache De l’ordre d’une dizaine de milliards de pages pour les grands moteurs Mais une portion infime de l’information disponible en ligne<= /li> Classement des résultats À chaque requête, tri des résultats selon le contenu des pages Classement, notion de « Page rank » (popularité)=
4	Classement des résultats : une formule secrète Enjeu stratégique du classement L’internaute ne consulte généralement que la première page de résultats Les sites sont prêts à tout pour arriver en tête= de classement Pour rester crédible, le moteur de recherche doit garder secrète sa formule de classement Sans compter que la concurrence veille… Les résultats ne sont objectifs qu’en apparence
5	Moteurs de reche= rche : modèle économique Mise en relation De l’internaute avec l’information qu’il recherch= e Des éditeurs de contenus avec l’internaute Des annonceurs avec leur cible Financer le service Par la publicité En ne payant pas pour les contenus indexés
6	Moteurs de reche= rche : l’écosystème
7	Pertinence des m= oteurs : les index diffèrent, les résultats aussi Requêtes identiques sur Google,Yahoo!, MSN, Exalead, Dir et Vo= ila : Sur 4200 URL retournées, 80% sont citées par un seul moteur
8	Pertinence des m= oteurs : des critères passés sous silence Les partenariats économiques et stratégiques influent = sur les résultats
9	Pertinence des m= oteurs : des résultats plus ou moins propres La proportion de liens « morts » est variable<= /li> selon les moteurs selon les jours
10	Pertinence des = moteurs : qu’en pense l’utilisateur ?
11	Moteurs de rech= erche : fonctions avancées Utiliser plusieurs moteurs de recherche, c’est bien; bien les utiliser, c’est encore mieux: Choix des mots-clés Recours aux opérateurs et aux modificateurs
12	Moteurs de rech= erche : moteurs alternatifs et spécialisés Recherche « sémantique »: Hakia (lien), Qristal… Par secteur d’activité: Hippocrates (lien) pour le médical Kosmix (lien) pour le politique Accoona (lien) pour l’économique Par domaine linguistique ou culturel: Vigoos (lien) Par type de sources: Omgili (lien) pour les forums Technorati (lien) pour les blogs Rel8r (lien) pour les « tags » Recherche collaborative: Prefound (lien) Catégorisation des résultats: Infocious (lien), Kosmix (lien)
13	Moteurs de rech= erche : les grandes tendances d’évolution Indexer les contenus multimédia Cartographie et recherche locale « catégorisation » (clustering) Personnalisation par captation d’informations personnelles Recherche « sur le bureau »: indexer le contenu des ordinateurs personnels, des intranets d’entreprise, etc. Intégration des phénomènes dits « web 2.0 » L’amélioration des algorithmes de recherche proprement dits, et notamment les travaux sur l’analyse sémantique, semblent en panne.
14	Pour aller plus= loin : quelques sites et ouvrages Abondance (lien) WebRankInfo (lien) Secrets2moteurs (lien) Intelligence center (lien) Search Engine Matrix (lien) Répertoire des moteurs de recherche (lien) inFLUX>rechercher sur le net (lien) Technologies du langage (lien) Net recherche : Le guide pratique pour mieux trouver l'information u= tile (lien)