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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Библиографические подробности

Опубликовано в::	ACM transactions on information systems. 22, 1 (2004).
Главный автор:	Herlocker, Jonathan L.
Другие авторы:	Konstan, Joseph A., Terveen, Loren G., Riedl, John T.
Формат:	Статья
Язык:	English
Предметы:	Collaborative filtering. Evaluation. Metrics. Recommender systems.