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» Filtering for Private Collaborative Benchmarking
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ETRICS
2006
13 years 8 months ago
Filtering for Private Collaborative Benchmarking
Florian Kerschbaum, Orestis Terzidis
WPES
2004
ACM
13 years 10 months ago
Private collaborative forecasting and benchmarking
Suppose a number of hospitals in a geographic area want to learn how their own heart-surgery unit is doing compared with the others in terms of mortality rates, subsequent complic...
Mikhail J. Atallah, Marina Bykova, Jiangtao Li, Ke...
CSREASAM
2006
13 years 6 months ago
An Efficient Bloom Filter Based Solution for Multiparty Private Matching
- The issue of privacy becomes more and more important. On the other hand, online collaboration among different parties is almost unavoidable. How to allow collaboration while prot...
Pierre K. Y. Lai, Siu-Ming Yiu, K. P. Chow, C. F. ...
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
13 years 10 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
IWSEC
2007
Springer
13 years 11 months ago
Privacy-Preserving Eigentaste-Based Collaborative Filtering
With the evolution of e-commerce, privacy is becoming a major concern. Many e-companies employ collaborative filtering (CF) techniques to increase their sales by providing truthfu...
Ibrahim Yakut, Huseyin Polat