88 search results - page 1 / 18 » Context-based splitting of item ratings in collaborative fil... |
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
IIR
2010
13 years 5 months ago
2010
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
SDM
2012
SIAM
11 years 6 months ago
2012
SIAM
Matrix factorization (MF) has been demonstrated to be one of the most competitive techniques for collaborative filtering. However, state-of-the-art MFs do not consider contextual...
INCDM
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. In a recommender system where users rate items we predict the rating of items users have not rated. We define a rating graph containing users and items as vertices and r...
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...