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» Explaining collaborative filtering recommendations
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RECSYS
2009
ACM
14 years 9 days ago
TagiCoFi: tag informed collaborative filtering
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
CIA
2004
Springer
13 years 11 months ago
Collaboration Analysis in Recommender Systems Using Social Networks
Abstract. Many researchers have focused their efforts on developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves per...
Jordi Palau, Miquel Montaner, Beatriz López...
CAI
2006
Springer
13 years 5 months ago
A Logical Framework for Identifying and Explaining Unexpected News
The number of news reports published online is now so great that it is impossible for any person to read all of them. Not all of these reports are equally interesting. Automating ...
Emma Byrne
RECSYS
2010
ACM
13 years 6 months ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth
CIKM
2004
Springer
13 years 11 months ago
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
Luo Si, Rong Jin