162 search results - page 1 / 33 » Item-based collaborative filtering recommendation algorithms |
EPIA
2009
Springer
13 years 8 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...
ECAI
2008
Springer
13 years 6 months ago
2008
Springer
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
STAIRS
2008
13 years 6 months ago
2008
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
GFKL
2005
Springer
13 years 10 months ago
2005
Springer
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
SIGIR
2008
ACM
13 years 4 months ago
2008
ACM
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...