The Adaptive Clustering Method for the Long Tail Problem of Recommender Systems

This is a study of the long tail problem of recommender systems when many items in the long tail have only a few ratings, thus making it hard to use them in recommender systems. The approach presented in this paper clusters items according to their popularities, so that the recommendations for tail...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2013-08, Vol.25 (8), p.1904-1915
1. Verfasser:	Park, Yoon-Joo
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive clustering Clustering k-nearest neighbors Long tail problem Nearest neighbor problems Recommender systems
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