34 search results - page 5 / 7 » Binomial Matrix Factorization for Discrete Collaborative Fil... |
135
Voted
BCI
2009
IEEE
15 years 9 months ago
2009
IEEE
—In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
145
Voted
RECSYS
2010
ACM
15 years 2 months ago
2010
ACM
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
120
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ICDM
2005
IEEE
15 years 8 months ago
2005
IEEE
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
130
Voted
AAAI
2012
13 years 4 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...
109
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JMLR
2010
14 years 9 months ago
2010
While most popular collaborative filtering methods use low-rank matrix factorization and parametric density assumptions, this article proposes an approach based on distribution-fr...