108 search results - page 2 / 22 » Collaborative filtering with decoupled models for preference... |
AMM
2011
13 years 10 days ago
2011
—The number of resources or items that users can now access when navigating on the Web or using e-services, is so huge that these might feel lost due to the presence of too much ...
ICTAI
2010
IEEE
13 years 2 months ago
2010
IEEE
Collaborative filtering exploits user preferences, generally ratings, to provide them with recommendations. However, the ratings may not be completely trustworthy: the rating scale...
SIGIR
2004
ACM
13 years 10 months ago
2004
ACM
The goal of collaborative filtering is to make recommendations for a test user by utilizing the rating information of users who share interests similar to the test user. Because r...
SIGIR
2003
ACM
13 years 10 months ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
AAAI
2012
11 years 7 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...