Ítem
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Aciar, Silvana Vanesa
Zhang, Debbie Simoff, Simeon Debenham, John |
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| Consumer reviews, opinions and shared experiences in the use of a product is a powerful source of information about consumer preferences that can be used in recommender systems. Despite the importance and value of such information, there is no comprehensive mechanism that formalizes the opinions selection and retrieval process and the utilization of retrieved opinions due to the difficulty of extracting information from text data. In this paper, a new recommender system that is built on consumer product reviews is proposed. A prioritizing mechanism is developed for the system. The proposed approach is illustrated using the case study of a recommender system for digital cameras | |
| http://hdl.handle.net/2072/63321 | |
| eng | |
| IEEE | |
| Tots els drets reservats | |
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Béns de consum
Comerç electrònic Consumidors -- Conducta Mineria de dades Sistemes experts (Informàtica) Consumer goods Consumer behavior Data mining Electronic commerce Expert systems (Computer science) |
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| Recommender System Based on Consumer Product Reviews | |
| info:eu-repo/semantics/article | |
| Recercat |
