Abstract

Social filtering systems that use explicit ratings require a large number of ratings to remain viable. The effort involved for a user to rate a document may outweigh any benefit received, leading to a shortage of ratings. One approach to this problem is to use implicit ratings: where user actions are recorded and a rating is inferred from the recorded data. This paper discusses the costs and benefits of using implicit ratings for information filtering applications.

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