764 search results - page 39 / 153 » Maximum-Margin Matrix Factorization |
131
click to vote
WWW
2010
ACM
15 years 4 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
JAT
2006
14 years 9 months ago
2006
Abstract. Recently M. Dritschel proved that any positive multivariate Laurent polynomial can be factorized into a sum of square magnitudes of polynomials. We first give another pro...
110
click to vote
RECSYS
2010
ACM
14 years 10 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...
SLSFS
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
IJCSA
2006
14 years 9 months ago
2006
In this paper we examine the use of a matrix factorization technique called Singular Value Decomposition (SVD) along with demographic information