Intelligent personalised information retrieval system based on multi-agent

被引：2
|
作者：
Li, Yan [1 ]
Guo, Fuwen [2 ]
Wang, Xiufeng [3 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Comp & Software Inst, Nanjing 210044, Jiangsu, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Nanjing 210044, Jiangsu, Peoples R China
[3] Nankai Univ, Coll Informat Technol & Sci, Taijing 300071, Peoples R China
来源：
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL | 2011年 / 12卷 / 1-2期
基金：
中国国家自然科学基金;
关键词：
information retrieval; multi-agent; user personalised model; agent learning;
D O I：
10.1504/IJMIC.2011.037839
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：113 / 118
页数：6
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