An adaptive Web page recommendation service
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Evolving a multi-agent information filtering solution in Amalthaea
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The Use of Neutral Genotype-Phenotype Mappings for Improved Evolutionary Search
BT Technology Journal
Eos — An Evolutionary and Ecosystem Research Platform
BT Technology Journal
Applying Evolutionary Algorithms to the Problem of Information Filtering
DEXA '97 Proceedings of the 8th International Workshop on Database and Expert Systems Applications
Portable Information Filtering System: Network Information Servers
IC3N '98 Proceedings of the International Conference on Computer Communications and Networks
Evolutionary Computation: A New Transactions
IEEE Transactions on Evolutionary Computation
Nature-Inspired Computing Technology and Applications
BT Technology Journal
Eos — An Evolutionary and Ecosystem Research Platform
BT Technology Journal
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Boolean keyword trees can be used for information filtering. When they are generated by an evolutionary algorithm they can adapt to changes in the user's interests. This paper presents a non-discrete tree model that has been designed to be easier to evolve than more commonly used Boolean trees. Each tree is encoded by a genome that contains binary data as well as real-valued data. The results of the experiments are promising and suggest that the proposed model indeed offers an improvement.