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» Modeling Preferences in a Distributed Recommender System
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CDC
2010
IEEE
13 years 4 months ago
Preference elicitation in Fully Probabilistic Design of decision strategies
Any systematic decision-making design selects a decision strategy that makes the resulting closed-loop behaviour close to the desired one. Fully Probabilistic Design (FPD) describe...
Miroslav Kárný, Tatiana V. Guy
DEXA
2009
Springer
175views Database» more  DEXA 2009»
14 years 4 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
PODC
2004
ACM
14 years 3 months ago
Mechanism design for policy routing
The Border Gateway Protocol (BGP) for interdomain routing is designed to allow autonomous systems (ASes) to express policy preferences over alternative routes. We model these pref...
Joan Feigenbaum, Rahul Sami, Scott Shenker
MMM
2009
Springer
169views Multimedia» more  MMM 2009»
14 years 6 months ago
Personalized Image Recommendation
—In this paper, we have developed a novel framework called JustClick to enable personalized image recommendation via exploratory search from large-scale collections of manuallyan...
Yuli Gao, Hangzai Luo, Jianping Fan
ATAL
2006
Springer
14 years 1 months ago
Resource allocation among agents with preferences induced by factored MDPs
Distributing scarce resources among agents in a way that maximizes the social welfare of the group is a computationally hard problem when the value of a resource bundle is not lin...
Dmitri A. Dolgov, Edmund H. Durfee