37 search results - page 5 / 8 » Factor in the neighbors: Scalable and accurate collaborative... |
AAAI
2012
11 years 10 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
DEBU
2008
13 years 7 months ago
2008
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
BCI
2009
IEEE
14 years 2 months 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...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
Rating-based collaborative filtering is the process of predicting how a user would rate a given item from other user ratings. We propose three related slope one schemes with pred...
ESWA
2008
13 years 7 months ago
2008
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendatio...