Une nouvelle approche pour la modélisation du profil de l'utilisateur dans les systèmes de filtrage d'information : le modèle de filtre détecteur de nouveauté
Identifieur interne : 006863 ( Hal/Curation ); précédent : 006862; suivant : 006864Une nouvelle approche pour la modélisation du profil de l'utilisateur dans les systèmes de filtrage d'information : le modèle de filtre détecteur de nouveauté
Auteurs : Randa Kassab [France] ; Jean-Charles Lamirel [France] ; Emmanuel Nauer [France]Source :
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Abstract
In this paper, we present an original mechanism based on a novelty detector filter for modelling user's profile in the context of content-based filtering systems. This filter learns possibly evolving user's need by means of positive and negative user's relevance feedback. An experiment on the behaviour of this filter that has been conduced on a corpus of several thousands of web sites taken from one of the main categories of the open directory DMOZ is also described. This experiment demonstrates the accuracy of our filter both for analyzing user's need and for highlighting useful alternatives for representing this need.
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Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>content-based information filtering</term><term>negative relevance feedback</term><term>novelty detection</term><term>relevance feedback</term><term>user model</term><term>web</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, we present an original mechanism based on a novelty detector filter for modelling user's profile in the context of content-based filtering systems. This filter learns possibly evolving user's need by means of positive and negative user's relevance feedback. An experiment on the behaviour of this filter that has been conduced on a corpus of several thousands of web sites taken from one of the main categories of the open directory DMOZ is also described. This experiment demonstrates the accuracy of our filter both for analyzing user's need and for highlighting useful alternatives for representing this need.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="fr">Une nouvelle approche pour la modélisation du profil de l'utilisateur dans les systèmes de filtrage d'information : le modèle de filtre détecteur de nouveauté</title><author role="aut"><persName><forename type="first">Randa</forename><surname>Kassab</surname></persName><email>kassabr@loria.fr</email><idno type="halauthor">71603</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Charles</forename><surname>Lamirel</surname></persName><email></email><idno type="idhal">jean-charles-lamirel</idno><idno type="halauthor">71604</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Emmanuel</forename><surname>Nauer</surname></persName><email></email><idno type="halauthor">71605</idno><affiliation ref="#struct-2358"></affiliation></author><editor role="depositor"><persName><forename>Randa</forename><surname>Kassab</surname></persName><email>kassabr@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2005-11-28 12:08:52</date><date type="whenWritten">2004-12-01</date><date type="whenModified">2016-05-18 09:00:53</date><date type="whenReleased">2005-11-28 12:08:52</date><date type="whenProduced">2005-03-09</date></edition><respStmt><resp>contributor</resp><name key="104012"><persName><forename>Randa</forename><surname>Kassab</surname></persName><email>kassabr@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00000862</idno><idno type="halUri">https://hal.inria.fr/inria-00000862</idno><idno type="halBibtex">kassab:inria-00000862</idno><idno type="halRefHtml">2ème COnférence en Recherche d'Infomations et Applications - CORIA'2005, Mar 2005, Grenoble/France, France. pp.185-200, 2005</idno><idno type="halRef">2ème COnférence en Recherche d'Infomations et Applications - CORIA'2005, Mar 2005, Grenoble/France, France. pp.185-200, 2005</idno></publicationStmt><seriesStmt><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA-TALC" p="LORIA">Traitement automatique des langues et des connaissances</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="3">National</note><note type="invited" n="0">No</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note><note type="proceedings" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="fr">Une nouvelle approche pour la modélisation du profil de l'utilisateur dans les systèmes de filtrage d'information : le modèle de filtre détecteur de nouveauté</title><author role="aut"><persName><forename type="first">Randa</forename><surname>Kassab</surname></persName><email>kassabr@loria.fr</email><idno type="halAuthorId">71603</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Jean-Charles</forename><surname>Lamirel</surname></persName><idno type="idHal">jean-charles-lamirel</idno><idno type="halAuthorId">71604</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">Emmanuel</forename><surname>Nauer</surname></persName><idno type="halAuthorId">71605</idno><affiliation ref="#struct-2358"></affiliation></author></analytic><monogr><meeting><title>2ème COnférence en Recherche d'Infomations et Applications - CORIA'2005</title><date type="start">2005-03-09</date><settlement>Grenoble/France</settlement><country key="FR">France</country></meeting><imprint><biblScope unit="pp">185-200</biblScope><date type="datePub">2005</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">novelty detection</term><term xml:lang="en">user model</term><term xml:lang="en">relevance feedback</term><term xml:lang="en">negative relevance feedback</term><term xml:lang="en">content-based information filtering</term><term xml:lang="en">web</term></keywords><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">In this paper, we present an original mechanism based on a novelty detector filter for modelling user's profile in the context of content-based filtering systems. This filter learns possibly evolving user's need by means of positive and negative user's relevance feedback. An experiment on the behaviour of this filter that has been conduced on a corpus of several thousands of web sites taken from one of the main categories of the open directory DMOZ is also described. This experiment demonstrates the accuracy of our filter both for analyzing user's need and for highlighting useful alternatives for representing this need.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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