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Semantically-enhanced pre-filtering for context-aware recommender systems
dc.contributor.author | Codina Busquet, Víctor |
dc.contributor.author | Ceccaroni, Luigi |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2013-05-30T12:29:51Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | Codina, V.; Ceccaroni, L. Semantically-enhanced pre-filtering for context-aware recommender systems. A: Workshop on Context-aware Retrieval and Recommendation. "Proceedings of the 3rd Workshop on Context-awareness in Retrieval and Recommendation". New York: ACM Press. Association for Computing Machinery, 2013, p. 15-18. |
dc.identifier.isbn | 978-1-4503-1847-1 |
dc.identifier.uri | http://hdl.handle.net/2117/19457 |
dc.description.abstract | Several research works have demonstrated that if users' ratings are truly context-dependent, then Context-Aware Recommender Systems can outperform traditional recommenders. In this paper we present a novel contextual pre-filtering approach that exploits the implicit semantic similarity of contextual situations. For determining such a similarity we rely only on the available users' ratings and we deem as similar two syntactically different contextual situations that are actually influencing in a similar way the user's rating behavior. We validate the proposed approach using two contextually tagged ratings data sets showing that it outperforms a traditional pre-filtering approach and a state-of-the-art context-aware Matrix Factorization model. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | ACM Press. Association for Computing Machinery |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació |
dc.subject.lcsh | Recommender systems (Information filtering) |
dc.subject.other | Recommender systems |
dc.subject.other | Behavioral research |
dc.subject.other | Collaborative filtering |
dc.title | Semantically-enhanced pre-filtering for context-aware recommender systems |
dc.type | Conference report |
dc.subject.lemac | Sistemes experts (Informàtica) -- Filtratge |
dc.contributor.group | Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic |
dc.identifier.doi | 10.1145/2442670.2442674 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://dl.acm.org/citation.cfm?doid=2442670.2442674 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 12440081 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Codina, V.; Ceccaroni, L. |
local.citation.contributor | Workshop on Context-aware Retrieval and Recommendation |
local.citation.pubplace | New York |
local.citation.publicationName | Proceedings of the 3rd Workshop on Context-awareness in Retrieval and Recommendation |
local.citation.startingPage | 15 |
local.citation.endingPage | 18 |