24 search results - page 2 / 5 » Assessing the value of unrated items in collaborative filter... |
ICDM
2009
IEEE
13 years 3 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...
ICML
1998
IEEE
14 years 6 months ago
1998
IEEE
Predicting items a user would like on the basis of other users' ratings for these items has become a well-established strategy adopted by many recommendation services on the ...
AAAI
2012
11 years 7 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
COOPIS
2004
IEEE
13 years 9 months ago
2004
IEEE
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
DATAMINE
2010
13 years 2 months ago
2010
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...