Recommeder system based on consumer product reviews

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceeding of the 2006 IEEE/WIC/ACM International conference on web intelligence ( WI 2006 Main conference proceedings)(WI'06), 2006, pp. 1 - 5
Issue Date:
2006-01
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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.
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