513 search results - page 7 / 103 » Learning Models for Ranking Aggregates |
128
Voted
SIAMSC
2008
15 years 20 days ago
2008
A multilevel adaptive aggregation method for calculating the stationary probability vector of an irreducible stochastic matrix is described. The method is a special case of the ada...
105
Voted
RECSYS
2010
ACM
14 years 10 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...
72
Voted
COLT
2007
Springer
15 years 7 months ago
2007
Springer
90
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
99
Voted
COLT
2005
Springer
15 years 6 months ago
2005
Springer
The problem of ranking, in which the goal is to learn a real-valued ranking function that induces a ranking or ordering over an instance space, has recently gained attention in mac...