34 search results - page 2 / 7 » Binomial Matrix Factorization for Discrete Collaborative Fil... |
SDM
2012
SIAM
11 years 7 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...
SIGIR
2009
ACM
13 years 12 months ago
2009
ACM
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
RECSYS
2010
ACM
13 years 5 months ago
2010
ACM
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
ECWEB
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
AAAI
2010
13 years 6 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...