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DL
2000
Springer
173views Digital Library» more  DL 2000»
15 years 2 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
88
Voted
CSCW
2006
ACM
15 years 4 months ago
Don't look stupid: avoiding pitfalls when recommending research papers
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan
SCIENTOMETRICS
2011
14 years 28 days ago
Accuracy of inter-researcher similarity measures based on topical and social clues
Scientific literature recommender systems (SLRSs) provide papers to researchers according to their scientific interests. Systems rely on inter-researcher similarity measures that...
Guillaume Cabanac
ICDE
2009
IEEE
100views Database» more  ICDE 2009»
15 years 12 months ago
Recommendation Diversification Using Explanations
Abstract-- We introduce the novel notion of explanationbased diversification to address the well-known problem of overspecialization in item recommendations. Over-specialization in...
Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia
IEEECIT
2010
IEEE
14 years 8 months ago
A P2P REcommender System based on Gossip Overlays (PREGO)
—Gossip-based Peer-to-Peer protocols proved to be very efficient for supporting dynamic and complex information exchange among distributed peers. They are useful for building an...
Matteo Mordacchini, Ranieri Baraglia, Patrizio Daz...