Evaluating collaborative filtering recommender systems.

Recommender systems have been evaluated in many, often incomparable, ways. In this article, we review the key decisions in evaluating collaborative filtering recommender systems: the user tasks being evaluated, the types of analysis and datasets being used, the ways in which prediction quality is me...

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Bibliographic Details
Published in:ACM transactions on information systems. 22, 1 (2004).
Main Author: Herlocker, Jonathan L.
Other Authors: Konstan, Joseph A., Terveen, Loren G., Riedl, John T.
Format: Article
Language:English
Subjects: