103 search results - page 10 / 21 » On the Performance of SVD-Based Algorithms for Collaborative... |
143
Voted
EPIA
2009
Springer
15 years 7 months 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...
127
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RECSYS
2009
ACM
15 years 9 months ago
2009
ACM
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
131
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SIGIR
2005
ACM
15 years 8 months ago
2005
ACM
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
120
Voted
RECSYS
2009
ACM
15 years 9 months ago
2009
ACM
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
112
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WECWIS
2005
IEEE
15 years 9 months ago
2005
IEEE
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...