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scopus(21)
Avoiding fake neighborhoods in e-commerce collaborative recommender systems: A semantic approach
Conference ObjectAbstract: Recommender systems are very useful tools in application domains that suffer from information overloPalabras claves:COLLABORATIVE FILTERING, E-Commerce, personalization, semantic reasoningAutores:Blanco-FernÁndez Y., Martín López-Nores, Martín-Vicente M.I., Ramos-Cabrer M., Solla A.G.Fuentes:scopusA flexible semantic inference methodology to reason about user preferences in knowledge-based recommender systems
ArticleAbstract: Recommender systems arose with the goal of helping users search in overloaded information domains (lPalabras claves:Content-based filtering, Ontologies, recommender systems, semantic reasoning, semantic webAutores:Bermejo-Muñoz J., Blanco-FernÁndez Y., GarcÍa-Duque J., José Pazos-Arias, Martín López-Nores, Ramos-Cabrer M., Redondo R.P.D., Solla A.G., Vilas F.Fuentes:scopusA hybrid strategy to personalize the digital television by semantic inference
Book PartAbstract: The digital TV (DTV) will bring a significant increase in the number of channels and programs availaPalabras claves:Autores:Blanco-FernÁndez Y., José Pazos-Arias, Martín López-Nores, Ramos-Cabrer M., Solla A.G.Fuentes:scopusA multi-agent open architecture for a TV recommender system: A case study using a bayesian strategy
Conference ObjectAbstract: In this paper we present a recommender system of personalized TV contents, called AVATAR1, for whichPalabras claves:Autores:Barragáns-Martínez B., Blanco-FernÁndez Y., José Pazos-Arias, Martín López-Nores, Ramos-Cabrer M., Solla A.G.Fuentes:scopusA semantic approach to improve neighborhood formation in collaborative recommender systems
ArticleAbstract: Automatic recommenders are now omnipresent in e-commerce websites, as selecting and offering to userPalabras claves:COLLABORATIVE FILTERING, Fake neighborhood, semantic reasoning, Semantic similarity metric, Sparsity problemAutores:Blanco-FernÁndez Y., José Pazos-Arias, Martín López-Nores, Martín-Vicente M.I., Ramos-Cabrer M., Solla A.G.Fuentes:scopusAVATAR: A multi-agent TV recommender system using MHP applications
Conference ObjectAbstract: In this paper we present AVATAR, a recommender of personalized TV contents, for which an open multi-Palabras claves:Autores:Barragáns-Martínez B., Blanco-FernÁndez Y., José Pazos-Arias, Martín López-Nores, Ramos-Cabrer M., Solla A.G.Fuentes:scopusAVATAR: An advanced multi-agent recommender system of personalized TV contents by semantic reasoning
ArticleAbstract: In this paper a recommender system of personalized TV contents, named AVATAR1, is presented. We propPalabras claves:Autores:Barragáns-Martínez B., Blanco-FernÁndez Y., GarcÍa-Duque J., José Pazos-Arias, Martín López-Nores, Ramos-Cabrer M., Redondo R.P.D., Solla A.G., Vilas F.Fuentes:scopusAVATAR: An approach based on semantic reasoning to recommend personalized TV programs
Conference ObjectAbstract: In this paper a TV recommender system called AVATAR (AdVAnce Telematic search of Audiovisual contentPalabras claves:Inference of semantic relations, Ontologies, semantic web, TV recommender systemAutores:Barragáns-Martínez B., Blanco Y., Fernández A., José Pazos-Arias, López M., Ramos-Cabrer M., Redondo R.P.D., Solla A.G.Fuentes:scopusAVATAR: An improved solution for personalized TV based on semantic inference
Conference ObjectAbstract: The search engines in Internet and the recommender systems in the Digital TV domain, pursue to lightPalabras claves:Autores:Blanco-FernÁndez Y., José Pazos-Arias, Martín López-Nores, Ramos-Cabrer M., Solla A.G.Fuentes:scopusAn MHP framework to provide intelligent personalized recommendations about digital TV contents
ArticleAbstract: Digital Television will bring a significant increase in the amount of channels and programs availablPalabras claves:Automatic content recommenders, digital TV, MHP, semantic webAutores:Bermejo-Muñoz J., Bianco-Fernández Y., GarcÍa-Duque J., José Pazos-Arias, Martín López-Nores, Ramos-Cabrer M., Redondo R.P.D., Solla A.G., Vilas F.Fuentes:scopus