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AOIS
2004
13 years 6 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
CIMCA
2008
IEEE
13 years 11 months ago
Deploying Neural-Network-Based Models for Dynamic Pricing in Supply Chain Management
With the advent of e-Commerce, enterprises can no longer rely on static business strategies. They have to be able to cope in dynamic and uncertain electronic environments, especia...
Yevgeniya Kovalchuk, Maria Fasli
CSE
2008
IEEE
13 years 11 months ago
Adaptation to Dynamic Resource Availability in Ad Hoc Grids through a Learning Mechanism
Ad-hoc Grids are highly heterogeneous and dynamic networks, one of the main challenges of resource allocation in such environments is to find mechanisms which do not rely on the ...
Behnaz Pourebrahimi, Koen Bertels
ATAL
2004
Springer
13 years 10 months ago
Adaptive, Confidence-Based Multiagent Negotiation Strategy
We propose an adaptive 1-to-many negotiation strategy for multiagent coalition formation in dynamic, uncertain, real-time, and noisy environments. Our strategy focuses on multi-is...
Leen-Kiat Soh, Xin Li
ATAL
2004
Springer
13 years 10 months ago
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots
Adaptation is an essential requirement for self–organizing multi–agent systems functioning in unknown dynamic environments. Adaptation allows agents, e.g., robots, to change th...
Aram Galstyan, Kristina Lerman