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» Filtering for Private Collaborative Benchmarking
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SIGIR
2009
ACM
14 years 16 days ago
Fast nonparametric matrix factorization for large-scale collaborative filtering
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
IAT
2010
IEEE
13 years 3 months ago
Collaborative Learning of Ontology Fragments by Co-operating Agents
Abstract--Collaborating agents require either prior agreement on the shared vocabularies that they use for communication, or some means of translating between their private ontolog...
Heather S. Packer, Nicholas Gibbins, Nicholas R. J...
ICML
2010
IEEE
13 years 7 months ago
Mixed Membership Matrix Factorization
Discrete mixed membership modeling and continuous latent factor modeling (also known as matrix factorization) are two popular, complementary approaches to dyadic data analysis. In...
Lester W. Mackey, David Weiss, Michael I. Jordan
WWW
2008
ACM
14 years 6 months ago
Personalized interactive faceted search
Faceted search is becoming a popular method to allow users to interactively search and navigate complex information spaces. A faceted search system presents users with keyvalue me...
Jonathan Koren, Yi Zhang, Xue Liu
CHI
2008
ACM
14 years 6 months ago
PeerChooser: visual interactive recommendation
Collaborative filtering (CF) has been successfully deployed over the years to compute predictions on items based on a user's correlation with a set of peers. The black-box na...
Barry Smyth, Brynjar Gretarsson, John O'Donovan, S...