JOURNAL ARTICLE

Intelligent personalised information retrieval system based on multi-agent

Yan LiFuwen GuoXiufeng Wang

Year: 2011 Journal:   International Journal of Modelling Identification and Control Vol: 12 (1/2)Pages: 113-113   Publisher: Inderscience Publishers

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:
Computer science Information retrieval

Metrics

2
Cited By
0.78
FWCI (Field Weighted Citation Impact)
15
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems
Information Retrieval and Search Behavior
Physical Sciences →  Computer Science →  Information Systems

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