1203 search results - page 42 / 241 » Probabilistic Matrix Factorization |
RECSYS
2010
ACM
13 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
14 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...
IDA
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. In this paper we present a probabilistic algorithm which factorizes non-negative data. We employ entropic priors to additionally satisfy that user specified pairs of fac...
IJCSA
2006
13 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
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...