807 search results - page 27 / 162 » Learning Collaborative Information Filters |
RECSYS
2010
ACM
13 years 8 months ago
2010
ACM
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
BCI
2009
IEEE
14 years 3 months ago
2009
IEEE
—In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
RECSYS
2010
ACM
13 years 8 months ago
2010
ACM
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
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...
EPIA
2009
Springer
14 years 15 days ago
2009
Springer
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...