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Movie recommendation framework using associative classification and a domain ontology
Conference ObjectAbstract: The increasing acceptance of web recommender systems is mainly due to improvements achieved throughPalabras claves:associative classification, Cold-start, First-rater, recommender systems, semantic web mining, sparsityAutores:Moreno-García M.N., Muñoz M.D., Sánchez Á.L., Segrera S., Vivian Félix López-BatistaFuentes:scopusMining semantic data for solving first-rater and cold-start problems in recommender systems
Conference ObjectAbstract: Recommender systems are becoming very popular in recent years, mainly in the e-commerce sites, althoPalabras claves:associative classification, Cold-start, First-rater, recommender systems, semantic web miningAutores:Moreno-García M.N., Muñoz M.D., Sánchez Á.L., Segrera S., Vivian Félix López-BatistaFuentes:scopusWeb mining based framework for solving usual problems in recommender systems. A case study for movies' recommendation
ArticleAbstract: Endowing web systems with efficient and reliable recommendation procedures is being the target of inPalabras claves:associative classification, Cold-start, First-rater, recommender systems, semantic web mining, sparsityAutores:Moreno-García M.N., Muñoz M.D., Sánchez Á.L., Segrera S., Vivian Félix López-BatistaFuentes:scopus