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CORR
2011
Springer
196views Education» more  CORR 2011»
12 years 10 months ago
Privacy-Enhanced Reputation-Feedback Methods to Reduce Feedback Extortion in Online Auctions
In this paper, we study methods for improving the utility and privacy of reputation scores for online auctions, such as used in eBay, so as to reduce the effectiveness of feedbac...
Michael T. Goodrich, Florian Kerschbaum
CHI
2007
ACM
14 years 7 months ago
Enhancing ubiquitous computing with user interpretation: field testing the home health horoscope
Domestic ubiquitous computing systems often rely on inferences about activities in the home, but the open-ended, dynamic and heterogeneous nature of the home poses serious problem...
William W. Gaver, Phoebe Sengers, Tobie Kerridge, ...
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
14 years 10 days 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
ETRICS
2006
13 years 10 months ago
Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems
Recommender systems are widely used to help deal with the problem of information overload. However, recommenders raise serious privacy and security issues. The personal information...
Shyong K. Lam, Dan Frankowski, John Riedl
WEBI
2005
Springer
14 years 16 days ago
QTIP: Multi-Agent NLP and Privacy Architecture for Information Retrieval in Usable Web Privacy Software
We present a generic natural language processing (NLP) architecture, acronym QTIL, based on a system of cooperating multiple agents (Q/A, T, I, and L agents) which can be used in ...
Vlado Keselj, Dawn N. Jutla