129 search results - page 24 / 26 » Self-Paced Learning for Matrix Factorization |
RECSYS
2009
ACM
14 years 1 months ago
2009
ACM
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
SIGIR
2009
ACM
14 years 1 months ago
2009
ACM
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
NIPS
2008
13 years 9 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
Numerical multilinear (tensor) algebra is a principled mathematical approach to disentangling and explicitly and parsimoniously representing the essential factors or modes of imag...