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...
Published in: | ACM transactions on information systems. 22, 1 (2004). |
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Main Author: | |
Other Authors: | , , |
Format: | Article |
Language: | English |
Subjects: |