567 search results - page 9 / 114 » Collaborative recommender systems: Combining effectiveness a... |
UM
2007
Springer
14 years 1 months ago
2007
Springer
One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
RECSYS
2010
ACM
13 years 5 months ago
2010
ACM
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
CIKM
2004
Springer
14 years 23 days ago
2004
Springer
Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
IUI
2003
ACM
14 years 19 days ago
2003
ACM
Current recommender systems, based on collaborative filtering, implement a rather limited model of interaction. These systems intelligently elicit information from a user only dur...
OHS
2001
Springer
13 years 11 months ago
2001
Springer
Web-based applications with a large variety of users suffer from the inability to satisfy heterogeneous needs. A remedy for the negative effects of the traditional "one-size-...