Title: Intelligent personalised information retrieval system based on multi-agent

Authors: Yan Li, Fuwen Guo, Xiufeng Wang

Addresses: Computer and Software Institute, Nanjing University of Information Science and Technology, Nanjing, 210044, China. ' Library, Nanjing University of Information Science and Technology, Nanjing, 210044, China. ' College of Information Technology and Science, Nankai University, Taijing, 300071,China

Abstract: According to the current status of information search, a new personalised information search model is reported and the design and implementation of a system based on intelligent multi-agent is presented. A personalised information model must specialise to current interests of the user and adapt as they change over time. Machine learning techniques are used to increase the agents| capabilities of learning from the experience of previously satisfied queries. This paper builds a user personalised model to aid the accuracy of information distilling in order to enhance the personalised and intelligent degree of the system.

Keywords: information retrieval; multi-agent systems; agent-based systems; MAS; user personalised modelling; agent learning; search models; machine learning.

DOI: 10.1504/IJMIC.2011.037839

International Journal of Modelling, Identification and Control, 2011 Vol.12 No.1/2, pp.113 - 118

Published online: 31 Dec 2010 *

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