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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Detalles Bibliográficos

Publicado en:	ACM transactions on information systems. 22, 1 (2004).
Autor Principal:	Herlocker, Jonathan L.
Outros autores:	Konstan, Joseph A., Terveen, Loren G., Riedl, John T.
Formato:	Artigo
Idioma:	English
Subjects:	Collaborative filtering. Evaluation. Metrics. Recommender systems.