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Expert Systems with Applications(2)
Digest of Technical Papers - IEEE International Conference on Consumer Electronics(1)
Proceedings - 2011 6th International Workshop on Semantic Media Adaptation and Personalization, SMAP 2011(1)
SMAP '09 - 4th International Workshop on Semantic Media Adaptation and Personalization(1)
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scopus(5)
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 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:scopusImproving collaborative recommendation of coupons through digital TV by semantic inference of users' reputation
Conference ObjectAbstract: Recommender systems have proven to be an effective response to the information overload problem, byPalabras claves:Autores:Blanco-FernÁndez Y., Martín López-Nores, Martín-Vicente M.I., Ramos-Cabrer M., Solla A.G.Fuentes:scopusImproving e-commerce collaborative recommendations by semantic inference of neighbors' practical expertise
Conference ObjectAbstract: E-commerce has become a major application domain for recommender systems due to its business interesPalabras claves:COLLABORATIVE FILTERING, Expertise, personalized e-commerce, semantic reasoningAutores:Blanco-FernÁndez Y., Martín López-Nores, Martín-Vicente M.I., Ramos-Cabrer M., Solla A.G.Fuentes:scopusSemantic inference of user's reputation and expertise to improve collaborative recommendations
ArticleAbstract: Collaborative recommender systems select potentially interesting items for each user based on the prPalabras claves:COLLABORATIVE FILTERING, Expertise, personalized e-commerce, Reputation, semantic reasoning, trustAutores:Blanco-FernÁndez Y., Martín López-Nores, Martín-Vicente M.I., Ramos-Cabrer M., Solla A.G.Fuentes:scopus