A statistical recommendation model of mobile services based on contextual evidences

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dc.contributor.authorPicón, Artzai
dc.contributor.authorRodríguez-Vaamonde, Sergio
dc.contributor.authorJaén, Javier
dc.contributor.authorMocholi, Jose Antonio
dc.contributor.authorGarcía, David
dc.contributor.authorCadenas, Alejandro
dc.contributor.institutionCOMPUTER_VISION
dc.contributor.institutionTecnalia Research & Innovation
dc.date.issued2012-01
dc.description.abstractMobile devices are undergoing great advances in recent years allowing users to access an increasing number of services or personalized applications that can help them select the best restaurant, locate certain shops, choose the best way home or rent the best film. However this great quantity of services does not require the user to find and select those services needed for each specific situation. The classical approaches link some preferences to certain services, include the recommendations given by other users or even include certain fixed rules in order to choose the most appropriate services. However, since these methods assume that user needs can be modelled by fixed rules or preferences, they fail when modelling different users or makes them difficult to train. In this paper we propose a new algorithm that learns from the user's actions in different contextual situations, which allows to properly infer the most appropriate recommendations for a user in a specific contextual situation. This model, by using of a double knowledge diffusion approach, has been specifically designed to face the inherent lack of learning evidences, computational cost and continuous training requirements and, therefore, overcomes the performance and convergence rates offered by other learning methodologies.en
dc.description.sponsorshipThis work is partially underwritten by the Ministry of Industry, Tourism and Trade of the Government of Spain under the research project CENIT-2008-1019.
dc.description.statusPeer reviewed
dc.format.extent7
dc.identifier.citationPicón , A , Rodríguez-Vaamonde , S , Jaén , J , Mocholi , J A , García , D & Cadenas , A 2012 , ' A statistical recommendation model of mobile services based on contextual evidences ' , Expert Systems with Applications , vol. 39 , no. 1 , pp. 647-653 . https://doi.org/10.1016/j.eswa.2011.07.056
dc.identifier.doi10.1016/j.eswa.2011.07.056
dc.identifier.issn0957-4174
dc.identifier.otherresearchoutputwizard: 11556/196
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=81855218660&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofExpert Systems with Applications
dc.relation.projectIDMinistry of Industry, Trade and Labor, CENIT-2008-1019
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsContext awareness
dc.subject.keywordsMachine learning
dc.subject.keywordsMobility
dc.subject.keywordsPersonalisation
dc.subject.keywordsServices
dc.subject.keywordsUser preferences
dc.subject.keywordsGeneral Engineering
dc.subject.keywordsArtificial Intelligence
dc.subject.keywordsComputer Science Applications
dc.titleA statistical recommendation model of mobile services based on contextual evidencesen
dc.typejournal article
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