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Towards Better Representation of Context Into Recommender Systems

hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorZhong, Jinfeng
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorNegre, Elsa
dc.date.accessioned2022-12-22T15:25:22Z
dc.date.available2022-12-22T15:25:22Z
dc.date.issued2022
dc.identifier.issn2155-6393
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/23525
dc.language.isoenen
dc.subjectContext-aware recommender systems, Decision supporten
dc.subject.ddc003en
dc.subject.classificationjelM.M3en
dc.subject.classificationjelC.C6en
dc.titleTowards Better Representation of Context Into Recommender Systemsen
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversitytrue
dc.description.abstractenContext-aware recommender systems (CARSs) are attracting more and more attention from both the academic community and from industry. Users' contextual situations (e.g., location, time, companion, etc.) which can influence their ratings on items, are taken into consideration. Therefore, more accurate and personalized recommendations can be generated. The integration of contextual information in recommender systems to better model users' preferences under different contextual situations is a key research topic. In this paper, the authors propose a new method for representing contextual situations in recommender systems based on the influence of contextual conditions on ratings using Pearson Correlation Coefficient. The authors show the effectiveness of the proposed method compared to state-of-art methods by experiments on three different datasets widely used in CARSs research community.en
dc.relation.isversionofjnlnameInternational Journal of Knowledge-Based Organizations (IJKBO)
dc.relation.isversionofjnlvol12en
dc.relation.isversionofjnlissue2en
dc.relation.isversionofjnldate2022-04
dc.relation.isversionofjnlpages1-12en
dc.relation.isversionofdoi10.4018/IJKBO.295080en
dc.relation.isversionofjnlpublisherIGI Globalen
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenon
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewedouien
dc.date.updated2022-12-22T13:30:00Z
hal.identifierhal-03911225
hal.version1
hal.export.arxivnonen
hal.export.pmcnonen
hal.hide.repecnonen
hal.hide.oainonen
dc.subject.classificationjelHALC - Mathematical and Quantitative Methods::C6 - Mathematical Methods; Programming Models; Mathematical and Simulation Modelingen
dc.subject.classificationjelHALM - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics::M3 - Marketing and Advertisingen
hal.date.transferred2022-12-22T15:25:23Z
hal.author.functionaut
hal.author.functionaut


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