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ATAL
2007
Springer
14 years 4 months ago
On the robustness of preference aggregation in noisy environments
In an election held in a noisy environment, agents may unintentionally perturb the outcome by communicating faulty preferences. We investigate this setting by introducing a theore...
Ariel D. Procaccia, Jeffrey S. Rosenschein, Gal A....
SIGCOMM
2006
ACM
14 years 3 months ago
Policy-based routing with non-strict preferences
Traditional studies of routing problems often assumed strict preferences on paths, by eliminating ambiguity in path comparisons, or imposing a priori deterministic tie-breaking. S...
Chi-kin Chau
IUI
2005
ACM
14 years 3 months ago
Active preference learning for personalized calendar scheduling assistance
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....
SIGKDD
2008
138views more  SIGKDD 2008»
13 years 9 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
IFIP
2010
Springer
13 years 8 months ago
Improving Decision Quality Through Preference Relaxation
In online shopping scenarios, it can be difficult for consumers to process the vast amounts of information available and to make satisfactory buying decisions. Interactive decision...
Maciej Dabrowski, Thomas Acton