33 search results - page 3 / 7 » Collaborative prediction and ranking with non-random missing... |
FLAIRS
2008
15 years 1 days ago
2008
Recommendation systems suggest products to users. Collaborative filtering (CF) systems, which base those recommendations on a database of previous ratings by various users and pro...
SIGIR
2006
ACM
15 years 3 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 ...
CISS
2008
IEEE
2008
IEEE
A lower-bound on the number of rankings required in recommender systems using collaborativ filtering
15 years 4 months ago
— We consider the situation where users rank items from a given set, and each user ranks only a (small) subset of all items. We assume that users can be classified into C classe...
AIRS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Collaborative filtering is a major technique to make personalized recommendations about information items (movies, books, webpages etc) to individual users. In the liter...
WEBI
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we propose a novel memory-based collaborative filtering recommendation algorithm. Our algorithm use a new metric named influence weight, which is adjusted with ze...