Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
A personal news agent that talks, learns and explains
Proceedings of the third annual conference on Autonomous Agents
Proceedings of the 6th international conference on Intelligent user interfaces
Dynamic personalization of web sites without user intervention
Communications of the ACM - Spam and the ongoing battle for the inbox
Exploiting web browsing histories to identify user needs
Proceedings of the 12th international conference on Intelligent user interfaces
Resilient multi-path routing based on a biological attractor selection scheme
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
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Because of the information flood on the Web, it has become difficult to search necessary information. Although Web search engines assign authority values to Web pages and show ranked results, it is not enough to find information of interest easily, as users have to comb through reliable but out of the focus information. In this situation, personalization of Web search results is effective. To realize the personalization, a user profiling technique is essential, however, since the users' interests are not stable and are versatile, it should be flexible and tolerant to change of the environment. In this paper, we propose a user profiling method based on the model of the organisms' flexibility and environmental tolerance. We review the previous user profiling methods and discuss the adequacy of applying this model to user profiling.