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SAC
2005
ACM
14 years 1 months ago
Privacy preserving learning in negotiation
Machine learning techniques are widely used in negotiation systems. To get more accurate and satisfactory learning results, negotiation parties have the desire to employ learning ...
Sheng Zhang, Fillia Makedon
WWW
2009
ACM
14 years 8 months ago
Personalized recommendation on dynamic content using predictive bilinear models
In Web-based services of dynamic content (such as news articles), recommender systems face the difficulty of timely identifying new items of high-quality and providing recommendat...
Wei Chu, Seung-Taek Park
CRYPTO
2005
Springer
96views Cryptology» more  CRYPTO 2005»
14 years 1 months ago
Privacy-Preserving Set Operations
In many important applications, a collection of mutually distrustful parties must perform private computation over multisets. Each party’s input to the function is his private i...
Lea Kissner, Dawn Xiaodong Song
WMTE
2002
IEEE
14 years 18 days ago
Pattern-Based Annotations on E-Books: From Personal to Shared Didactic Content
Our research aims at defining models and software tools in order to provide learners with a training memory. This memory is a computer-based space where a learner can organize and...
Cyrille Desmoulins, Dominique Mille
CVPR
2011
IEEE
13 years 3 months ago
Collaborative Personalization of Image Enhancement
While most existing enhancement tools for photographs have universal auto-enhancement functionality, recent research [8] shows that users can have personalized preferences. In thi...
Juan Caicedo, Ashish Kapoor, Sing Bing Kang