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ECIR
2010
Springer
14 years 11 months ago
A Performance Prediction Approach to Enhance Collaborative Filtering Performance
Performance prediction has gained increasing attention in the IR field since the half of the past decade and has become an established research topic in the field. The present work...
Alejandro Bellogín, Pablo Castells
SDM
2010
SIAM
149views Data Mining» more  SDM 2010»
14 years 11 months ago
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
65
Voted
ICDIM
2007
IEEE
14 years 9 months ago
Assessing the value of unrated items in collaborative filtering
In collaborative filtering systems, a common technique is default voting. Unknown ratings are filled with a default value to alleviate the sparsity of rating databases. We show ...
Jérôme Kunegis, Andreas Lommatzsch, M...
JPDC
2006
253views more  JPDC 2006»
14 years 9 months ago
Collaborative detection and filtering of shrew DDoS attacks using spectral analysis
This paper presents a new spectral template-matching approach to countering shrew distributed denial-of-service (DDoS) attacks. These attacks are stealthy, periodic, pulsing, and ...
Yu Chen, Kai Hwang
CIKM
2009
Springer
15 years 4 months ago
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu