Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/43860
Título: Recommendation system in an audio visual delivery platform
Autores/as: Quinteiro González, José María 
Martel-Jordán, Ernestina 
Hernández-Morera, Pablo 
López-Rodríguez, Aaron 
Martel-Monagas, Leidia
Pino, Angelo Santana Del 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Recommendation Systems
Ontology
Customization
Fecha de publicación: 2010
Conferencia: International Conference on Knowledge Discovery and Information Retrieval, KDIR 2010 
Resumen: One of the main tasks of the information services is to help users to find information that satisfies their preferences reducing their search effort. Recommendation systems filter information and only show the most preferred items. Ontologies are fundamental elements of the Semantic Web and have been exploited to build more accurate and personalized recommendations by inferencing missing user preferences. With catalogs changing continuously ontologies must be built autonomously without expert intervention. In this paper we present an audiovisual recommendation engine which uses an enhanced ontology filtering technique to recommend audiovisual content. Experimental results show that the improvements of the ontology filtering technique generate accurate recommendations.
URI: http://hdl.handle.net/10553/43860
ISBN: 978-989-8425-28-7
ISSN: 2184-3228
Fuente: KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, p. 379-382
Colección:Actas de congresos
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