108 search results - page 2 / 22 » Item Similarity Learning Methods for Collaborative Filtering... |
ISMIS
2005
Springer
13 years 11 months ago
2005
Springer
Most recommendation systems employ variations of Collaborative Filtering (CF) for formulating suggestions of items relevant to users’ interests. However, CF requires expensive co...
SIGIR
2006
ACM
13 years 11 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 ...
SAC
2006
ACM
13 years 11 months ago
2006
ACM
Collaborative filtering requires a centralized rating database. However, within a peer-to-peer network such a centralized database is not readily available. In this paper, we pro...
EPIA
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
EWMF
2003
Springer
13 years 10 months ago
2003
Springer
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...