SWAMI: searching the web using agents with mobility and intelligence

Authors:
Mark Kilfoil;Ali Ghorbani
Affiliations:
Intelligent and Adaptive Systems (IAS) Research Group, Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada;Intelligent and Adaptive Systems (IAS) Research Group, Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada
Venue:
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Year:
2005

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Abstract

The rapid growth of the World Wide Web has complicated the process of web browsing by providing an overwhelming wealth of choices for the end user To alleviate this burden, intelligent tools can do much of the drudge-work This paper describes the SWAMI system It combines multiple aspects of adaptive web technologies into a framework for an intelligent web browsing system It uses a multi-agent system to represent the interests of the user dynamically and takes advantage of the active nature of agents to provide a platform for parallel look-ahead evaluation, page searching, and cooperative link recommendation swapping The collection of agents reflects the user's interests by self-organizing into a hierarchicy according to the evidence of apparent interest demonstrated by the user Example results of the functioning prototype are presented, demonstrating its ability to infer and react to a user's interests.