115 search results - page 1 / 23 » Data Sparsity Issues in the Collaborative Filtering Framewor... |
KDD
2005
ACM
14 years 4 months ago
2005
ACM
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
AAAI
2010
13 years 6 months ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
SIGIR
2006
ACM
13 years 10 months ago
2006
ACM
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
ITRUST
2005
Springer
13 years 10 months ago
2005
Springer
Collaborative Filtering (CF), the prevalent recommendation approach, has been successfully used to identify users that can be characterized as “similar” according to their logg...
KDD
2009
ACM
13 years 11 months 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, ...