Recommender System Based on User-generated Content

Abstract

Recommender systems apply statistical and knowledge discovery techniques to the problem of making recommendations during live user interaction. This paper describes a novel approach of building recommender systems for the Web with the aid of usergenerated content. Recently certain communities of Internet users have engaged in creating high quality peer… (More)

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