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Informed recommender: basing recommendations on consumer product reviews
Aciar, Silvana Vanesa; Zhang, Debbie; Simoff, Simeon; Debenham, John
Recommender systems attempt to predict items in which a user might be interested, given some information about the user's and items' profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed recommender uses prioritized consumer product reviews to make recommendations. Using text-mining techniques, it maps each piece of each review comment automatically into an ontology
Béns de consum
Comerç electrònic
Mineria de dades
Consumer goods
Electronic commerce
Data mining
Tots els drets reservats
Artículo
IEEE
         

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