56 search results - page 4 / 12 » Accuracy in Rating and Recommending Item Features |
RECSYS
2009
ACM
14 years 9 days ago
2009
ACM
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
AAAI
2007
13 years 8 months ago
2007
In this paper, we develop and evaluate several probabilistic models of user click-through behavior that are appropriate for modeling the click-through rates of items that are pres...
HICSS
2007
IEEE
14 years 3 days ago
2007
IEEE
In this paper, we address an issue of design in online rating systems: how many items should be elicited from the ratings provider. Recommender and reputation systems have traditi...
EEE
2005
IEEE
13 years 11 months ago
2005
IEEE
In this paper we discuss the Recommendz 1 recommender system. This domain-independent system combines the advantages of collaborative and content-based filtering in a novel way. ...
TKDE
2012
11 years 8 months ago
2012
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...