33 search results - page 1 / 7 » Ensemble methods for improving the performance of neighborho... |
RECSYS
2009
ACM
13 years 9 months ago
2009
ACM
RECSYS
2010
ACM
13 years 5 months ago
2010
ACM
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
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...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...