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Correlation-Based Pre-Filtering for Context-Aware Recommendation

hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorVahidi Ferdousi, Zahra
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorColazzo, Dario
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorNegre, Elsa
dc.date.accessioned2019-07-09T15:33:06Z
dc.date.available2019-07-09T15:33:06Z
dc.date.issued2018
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/19215
dc.language.isoenen
dc.subjectContext-Aware Recommender Systemen
dc.subjectContextual Information Integrationen
dc.subjectContextual Pre-Filteringen
dc.subjectCollaborative Filteringen
dc.subjectMatrix Factorizationen
dc.subject.ddc004en
dc.titleCorrelation-Based Pre-Filtering for Context-Aware Recommendationen
dc.typeCommunication / Conférence
dc.description.abstractenWith the increasing use of connected devices and IoT, users' contextual information is more and more available and used in different information systems. One of the domains where the use of contextual information is promising is that of recommendation. As a matter of fact, context-aware recommender systems (CARSs) have demonstrated that taking contextual information about users into account can improve the effectiveness of recommendation, by generating more relevant recommendations to the users in their specific contextual situation. In this paper we propose a new context representation and approach to integrate this kind of information into a recommender system. We make a strong representation of the context, based on the influence of context on ratings, calculated using the Pearson Correlation Coefficient. We do a pre-filtering recommendation based on this representation. Our evaluations demonstrate that our approach can outperforms the state of the art.en
dc.relation.ispartoftitle2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)en
dc.relation.ispartofeditorRoussos, George
dc.relation.ispartofeditorKameas, Achilles
dc.relation.ispartofpublnameInstitute of Electrical and Electronics Engineersen
dc.relation.ispartofdate2018
dc.subject.ddclabelInformatique généraleen
dc.relation.ispartofisbn978-1-5386-3227-7en
dc.relation.conftitle2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)en
dc.relation.confdate2018-03
dc.relation.confcityAthensen
dc.relation.confcountryGreeceen
dc.relation.forthcomingnonen
dc.identifier.doi10.1109/PERCOMW.2018.8480278en
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2019-07-09T15:24:19Z
hal.identifierhal-02178384*
hal.version1*
hal.author.functionaut
hal.author.functionaut
hal.author.functionaut


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