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» Collaborative Hierarchical Sparse Modeling
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192
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ISI
2007
Springer
16 years 15 days ago
An LDA-based Community Structure Discovery Approach for Large-Scale Social Networks
Abstract— Community discovery has drawn significant research interests among researchers from many disciplines for its increasing application in multiple, disparate areas, inclu...
Haizheng Zhang, Baojun Qiu, C. Lee Giles, Henry C....
INFOCOM
2006
IEEE
16 years 11 days ago
Collaboration Improves the Connectivity of Wireless Networks
— In the standard approach to studying connectivity, a physical layer is assumed that allows direct transmission between neighbors within some fixed distance. The graph resultin...
Sanquan Song, Dennis Goeckel, Donald F. Towsley
171
Voted
ICDIM
2008
IEEE
16 years 24 days ago
A holographic associative memory recommender system
We describe a recommender system based on Dynamically Structured Holographic Memory (DSHM), a cognitive model of associative memory that uses holographic reduced representations a...
Matthew Rutledge-Taylor, Andre Vellino, Robert L. ...
189
Voted
AAAI
2010
15 years 7 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling
186
Voted
SIGIR
2002
ACM
15 years 6 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny