SINVLIO: using semantics and fuzzy logic to provide individual investment portfolio recommendations

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dc.contributor.author García-Crespo, Ángel
dc.contributor.author López-Cuadrado, José Luis
dc.contributor.author González-Carrasco, Israel
dc.contributor.author Colomo-Palacios, Ricardo
dc.contributor.author Ruiz-Mezcua, Belén
dc.date.accessioned 2012-05-23T08:55:02Z
dc.date.available 2012-05-23T08:55:02Z
dc.date.issued 2012-03
dc.identifier.bibliographicCitation Knowledge-Based Systems, (March 2012), 27, 103-118
dc.identifier.issn 0950-7051
dc.identifier.uri http://hdl.handle.net/10016/14382
dc.description.abstract Portfolio selection addresses the problem of how to diversify investments in the most efficient and profitable way possible. Portfolio selection is a field of study that has been broached from several perspectives, including, among others, recommender systems. This paper presents SINVLIO (Semantic INVestment portfoLIO), a tool based on semantic technologies and fuzzy logic techniques that recommends investments grounded in both psychological aspects of the investor and traditional financial parameters of the investments. The results are very encouraging and reveal that SINVLIO makes good recommendations, according to the high degree of agreement between SINVLIO and expert recommendations
dc.description.sponsorship This work is supported by the Spanish Ministry of Industry, Tourism, and Commerce under the projects SONAR2 (TSI-020100-2008-665) and the Spanish Ministry of Science and Innovation under the project “FINANCIAL LINKED OPEN DATA REASONING AND MANAGEMENT FOR WEB SCIENCE” (TIN2011-27405).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2011 Elsevier
dc.subject.other Semantic technologies
dc.subject.other Fuzzy logic
dc.subject.other Recommender systems
dc.subject.other Investment portfolio
dc.subject.other Portfolio selection
dc.title SINVLIO: using semantics and fuzzy logic to provide individual investment portfolio recommendations
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1016/j.knosys.2011.08.012
dc.subject.eciencia Informática
dc.identifier.doi 10.1016/j.knosys.2011.08.012
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 103
dc.identifier.publicationlastpage 118
dc.identifier.publicationtitle Knowledge-Based Systems
dc.identifier.publicationvolume 27
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