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ADAPTIVE
2007
Springer
13 years 12 months ago
Collaborative Filtering Recommender Systems
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items th...
J. Ben Schafer, Dan Frankowski, Jonathan L. Herloc...
ESORICS
2010
Springer
13 years 6 months ago
Secure Multiparty Linear Programming Using Fixed-Point Arithmetic
Collaborative optimization problems can often be modeled as a linear program whose objective function and constraints combine data from several parties. However, important applicat...
Octavian Catrina, Sebastiaan de Hoogh
COOPIS
2004
IEEE
13 years 9 months ago
Trust-Aware Collaborative Filtering for Recommender Systems
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
Paolo Massa, Paolo Avesani
ATAL
2007
Springer
13 years 12 months ago
An agent-based approach for privacy-preserving recommender systems
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
Richard Cissée, Sahin Albayrak
TSE
2008
91views more  TSE 2008»
13 years 5 months ago
Privately Finding Specifications
Buggy software is a reality and automated techniques for discovering bugs are highly desirable. A specification describes the correct behavior of a program. For example, a file mus...
Westley Weimer, Nina Mishra