108 search results - page 1 / 22 » Item Similarity Learning Methods for Collaborative Filtering... |
AAAI
2006
13 years 6 months ago
2006
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
AH
2008
Springer
13 years 11 months ago
2008
Springer
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
ECRA
2007
13 years 5 months ago
2007
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems choose one or more candidates from a set of candidates through a filtering pro...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
ICDE
2011
IEEE
12 years 8 months ago
2011
IEEE
—Online shopping has grown rapidly over the past few years. Besides the convenience of shopping directly from ones home, an important advantage of e-commerce is the great variety...