24 search results - page 1 / 5 » Investigation of Various Matrix Factorization Methods for La... |
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
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...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
RECSYS
2010
ACM
13 years 5 months ago
2010
ACM
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
WSDM
2012
ACM
12 years 15 days ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...