937 search results - page 1 / 188 » The multiple multiplicative factor model for collaborative f... |
124
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
We describe a class of causal, discrete latent variable models called Multiple Multiplicative Factor models (MMFs). A data vector is represented in the latent space as a vector of...
121
Voted
KDD
2007
ACM
16 years 2 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...
167
Voted
SIGIR
2011
ACM
14 years 5 months ago
2011
ACM
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
120
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
108
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Most of the existing approaches to collaborative filtering cannot handle very large data sets. In this paper we show how a class of two-layer undirected graphical models, called R...