184 search results - page 16 / 37 » Using mixture models for collaborative filtering |
UAI
2003
13 years 10 months ago
2003
Collaborative filtering (CF) allows the preferences of multiple users to be pooled to make recommendations regarding unseen products. We consider in this paper the problem of onl...
GFKL
2005
Springer
14 years 2 months ago
2005
Springer
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
ICCBR
2001
Springer
14 years 1 months ago
2001
Springer
From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be...
RECSYS
2009
ACM
14 years 3 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...
SIGIR
2006
ACM
14 years 2 months ago
2006
ACM
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...