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WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
12 years 3 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
EDM
2010
309views Data Mining» more  EDM 2010»
13 years 9 months ago
A Case Study: Data Mining Applied to Student Enrollment
One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context,...
César Vialardi Sacín, Jorge Chue, Al...
DAIS
2006
13 years 9 months ago
On the Value of Random Opinions in Decentralized Recommendation
Abstract. As the amount of information available to users continues to grow, filtering wanted items from unwanted ones becomes a dominant task. To this end, various collaborative-f...
Elth Ogston, Arno Bakker, Maarten van Steen
ETS
2000
IEEE
93views Hardware» more  ETS 2000»
13 years 7 months ago
OWL: A Recommender System for Organization-Wide Learning
Wedescribe the use of a recommendersystem to enable continuousknowledgeacquisition and individualized tutoring of application software across an organization. Installing such syst...
Frank Linton, Deborah Joy, Hans-Peter Schaefer, An...
SIGIR
2009
ACM
14 years 2 months ago
Learning to recommend with social trust ensemble
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
Hao Ma, Irwin King, Michael R. Lyu