59 search results - page 4 / 12 » Collaborative filtering with privacy via factor analysis |
BCI
2009
IEEE
14 years 17 days 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...
KDD
2009
ACM
14 years 16 days ago
2009
ACM
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
CIKM
2008
Springer
13 years 7 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...
ECAI
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. This paper describes a new way of implementing an intelligent web caching service, based on an analysis of usage. Since the cache size in software is limited, and the sea...
WECWIS
2005
IEEE
13 years 11 months ago
2005
IEEE
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...