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ICDM
2010
IEEE
146views Data Mining» more  ICDM 2010»
13 years 5 months ago
One-Class Matrix Completion with Low-Density Factorizations
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu,...
USS
2010
13 years 5 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
WSDM
2012
ACM
290views Data Mining» more  WSDM 2012»
12 years 3 months ago
Online selection of diverse results
The phenomenal growth in the volume of easily accessible information via various web-based services has made it essential for service providers to provide users with personalized ...
Debmalya Panigrahi, Atish Das Sarma, Gagan Aggarwa...
COMAD
2009
13 years 9 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
HICSS
2003
IEEE
80views Biometrics» more  HICSS 2003»
14 years 1 months ago
Does Bundling Add-Ins Help Consumers?
Abstract— Third party developed software add-ins enhance the functionality of a large variety of base software such as operating systems, word processors, spread sheets, graphics...
Rajiv M. Dewan, Marshall L. Freimer