34 search results - page 3 / 7 » Binomial Matrix Factorization for Discrete Collaborative Fil... |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
We develop a new collaborative filtering (CF) method that combines both previously known users' preferences, i.e. standard CF, as well as product/user attributes, i.e. classi...
ICML
2004
IEEE
14 years 7 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...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
ML
2008
ACM
13 years 7 months ago
2008
ACM
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...