Improving Recommendations Using Context from Users’ Reviews

Abstract:

Recommender systems enable E-commerce websites to improve their sales by suggesting relevant items to customers. If considering the context of buying situations, more accurate recommendations can be computed. In this paper, we discuss the issue of using the contextual information contained in users’ reviews in order to improve recommendation.

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