11 search results - page 1 / 3 » Large-Scale Parallel Collaborative Filtering for the Netflix... |
AAIM
2008
Springer
13 years 7 months ago
2008
Springer
Many recommendation systems suggest items to users by utilizing the techniques of collaborative filtering (CF) based on historical records of items that the users have viewed, purc...
AUSAI
2008
Springer
13 years 7 months ago
2008
Springer
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
IIR
2010
13 years 6 months ago
2010
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation o...