270 search results - page 31 / 54 » Explaining collaborative filtering recommendations |
INCDM
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. In a recommender system where users rate items we predict the rating of items users have not rated. We define a rating graph containing users and items as vertices and r...
AAAI
2012
11 years 10 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...
ICDM
2007
IEEE
14 years 2 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...
JCDL
2004
ACM
14 years 1 months ago
2004
ACM
The number of research papers available is growing at a staggering rate. Researchers need tools to help them find the papers they should read among all the papers published each y...
GFKL
2007
Springer
14 years 2 months ago
2007
Springer
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...