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TWIN: Personality-based Intelligent Recommender System

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TWIN: Personality-based Intelligent Recommender System

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dc.contributor.author Roshchina, Alexandra es_ES
dc.contributor.author Cardiff, John es_ES
dc.contributor.author Rosso, Paolo es_ES
dc.date.accessioned 2016-05-30T09:43:11Z
dc.date.available 2016-05-30T09:43:11Z
dc.date.issued 2015
dc.identifier.issn 1064-1246
dc.identifier.uri http://hdl.handle.net/10251/64908
dc.description.abstract This paper presents the Tell me What I Need (TWIN) Personality-based Intelligent Recommender System, the goal of which is to recommend items chosen by like-minded (or twin ) people with similar personality types which we estimate from their writings. In order to produce recommendations it applies the results achieved in the personality from the text recognition research field to Personality-based Recommender System user profile modelling. In this way it creates a bridge between the efforts of automatic personality score estimation from plain text and the field of Intelligent Recommender Systems. The paper describes the TWIN system architecture, and results of the experimentation with the system in the online travelling domain in order to investigate the possibility of providing valuable recommendations of hotels of the TripAdvisor website for like-minded people . The results compare favourably with related experiments, although they demonstrate the complexity of this challenging task. es_ES
dc.description.sponsorship The research work of the third author is partially funded by the WIQ-EI (IRSES grant n. 269180) and DIANA APPLICATIONS (TIN2012-38603-C02-01), and done in the framework of the VLC/Campus Microcluster on Multimodal Interaction in Intelligent Systems. en_EN
dc.language Inglés es_ES
dc.publisher IOS Press es_ES
dc.relation.ispartof Journal of Intelligent and Fuzzy Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Personality ecognition es_ES
dc.subject Intelligent recommender system es_ES
dc.subject Text processing es_ES
dc.subject Borrar Personality-based user model es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title TWIN: Personality-based Intelligent Recommender System es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3233/IFS-141484
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02-01/ES/DIANA-APPLICATIONS: FINDING HIDDEN KNOWLEDGE IN TEXTS: APPLICATIONS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Roshchina, A.; Cardiff, J.; Rosso, P. (2015). TWIN: Personality-based Intelligent Recommender System. Journal of Intelligent and Fuzzy Systems. 28(5):2059-2071. https://doi.org/10.3233/IFS-141484 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.3233/IFS-141484 es_ES
dc.description.upvformatpinicio 2059 es_ES
dc.description.upvformatpfin 2071 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 28 es_ES
dc.description.issue 5 es_ES
dc.relation.senia 306231 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder European Commission
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