184 search results - page 15 / 37 » Using mixture models for collaborative filtering |
WWW
2007
ACM
14 years 9 months ago
2007
ACM
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item ...
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
AUSAI
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
EPIA
2009
Springer
14 years 14 days ago
2009
Springer
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
SDM
2010
SIAM
13 years 7 months ago
2010
SIAM
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...