174 search results - page 2 / 35 » Learning to Rank for Collaborative Filtering |
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
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...