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SIGKDD
2008
138views more  SIGKDD 2008»
13 years 5 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
WAW
2010
Springer
270views Algorithms» more  WAW 2010»
13 years 3 months ago
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...
WWW
2009
ACM
14 years 6 months ago
Matchbox: large scale online bayesian recommendations
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
David H. Stern, Ralf Herbrich, Thore Graepel
CORR
2008
Springer
133views Education» more  CORR 2008»
13 years 5 months ago
Emergence of Spontaneous Order Through Neighborhood Formation in Peer-to-Peer Recommender Systems
The advent of the Semantic Web necessitates paradigm shifts away from centralized client/server architectures towards decentralization and peer-to-peer computation, making the exi...
Ernesto Diaz-Aviles, Lars Schmidt-Thieme, Cai-Nico...
MM
2010
ACM
178views Multimedia» more  MM 2010»
13 years 5 months ago
Social audio features for advanced music retrieval interfaces
The size of personal music collections has constantly increased over the past years. As a result, the traditional metadata based lists to browse these collections have reached the...
Michael Kuhn 0002, Roger Wattenhofer, Samuel Welte...