394 search results - page 36 / 79 » Learning to recommend questions based on user ratings |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
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 ...
IADIS
2003
14 years 11 months ago
2003
Collaborative Filtering systems suggest items to a user because it is highly rated by some other user with similar tastes. Although these systems are achieving great success on we...
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CIKM
2010
Springer
14 years 8 months ago
2010
Springer
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
ICWSM
2009
14 years 7 months ago
2009
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...