20 search results - page 1 / 4 » List-wise learning to rank with matrix factorization for col... |
RECSYS
2010
ACM
13 years 2 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...
CORR
2006
Springer
13 years 4 months ago
2006
Springer
We develop a new collaborative filtering (CF) method that combines both previously known users' preferences, i.e. standard CF, as well as product/user attributes, i.e. classi...
ML
2008
ACM
13 years 4 months ago
2008
ACM
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...