37 search results - page 2 / 8 » Factor in the neighbors: Scalable and accurate collaborative... |
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
ICDM
2009
IEEE
13 years 3 months ago
2009
IEEE
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
ICDM
2005
IEEE
13 years 11 months ago
2005
IEEE
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
CIKM
2009
Springer
13 years 12 months ago
2009
Springer
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...