567 search results - page 9 / 114 » Collaborative recommender systems: Combining effectiveness a... |
UM
2007
Springer
15 years 5 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
14 years 9 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
15 years 5 months 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....
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IUI
2003
ACM
15 years 5 months 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
15 years 4 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-...