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.
International Journal of Modelling, Identification and Control, 2011 Vol.12 No.1/2, pp.113 - 118
Published online: 31 Dec 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article