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ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
14 years 1 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
IAT
2006
IEEE
14 years 2 months ago
Enhanced Recommendations through Propagation of Trust and Distrust
The incorporation of a trust network among the users of a recommender system (RS) proves beneficial to the quality and amount of recommendations. Involving also distrust can offe...
Patricia Victor, Chris Cornelis, Martine De Cock
ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
14 years 2 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
WEBI
2005
Springer
14 years 1 months ago
Privacy-Preserving Top-N Recommendation on Horizontally Partitioned Data
Collaborative filtering techniques are widely used by many E-commerce sites for recommendation purposes. Such techniques help customers by suggesting products to purchase using o...
Huseyin Polat, Wenliang Du
SIGECOM
2004
ACM
127views ECommerce» more  SIGECOM 2004»
14 years 1 months ago
HYRIWYG: leveraging personalization to elicit honest recommendations
This paper presents HYRIWYG (How You Rate Influences What You Get), a reputation system applicable to Internet Recommendation Systems (RS). The novelty lies in the incentive mecha...
Ana Cristina Bicharra Garcia, Martin Ekstrom, Hans...