Web Usage Mining Using Pearson’s Correlation Coefficient
نویسندگان
چکیده
Recommender systems apply knowledge discovery techniques to the problem of making personalized recommendations for information, products or services during a live interaction. In this paper we analyze three different recommendation generation algorithms. We look into three different techniques for computing similarities for obtaining recommendations from them. On the basis of various parameters we conclude Collaborative filtering using Pearson’s Correlation Coefficient provides better quality than the
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