66 search results - page 1 / 14 » Learning recommender systems with adaptive regularization |
WSDM
2012
ACM
12 years 14 hour ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
VLDB
2004
ACM
13 years 9 months ago
2004
ACM
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many f...
IDEAL
2004
Springer
13 years 9 months ago
2004
Springer
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
AOIS
2004
13 years 5 months ago
2004
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
LWA
2007
13 years 5 months ago
2007
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...