Web-based evolutionary and adaptive information retrieval

被引:13
作者
Kushchu, I [1 ]
机构
[1] Int Univ Japan, Grad Sch Int Management, Niigata 9497277, Japan
关键词
evolutionary and adaptive systems (EASs); genetic algorithms (GAs); information retrieval (IR); intelligent agents; world wide web (WWW or the Web);
D O I
10.1109/TEVC.2004.842093
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Internet and World Wide Web are becoming more and more dynamic in terms of their content and use. Information retrieval (IR) efforts aim to keep up with this dynamic environment by designing intelligent systems which can deliver Web content in real time to various wired or wireless devices. Evolutionary and adaptive systems (EASs) are emerging as typical examples of such systems. This paper contains one of the first attempts to gather and evaluate the nature of current research on Web-based IR using EAS and proposes future research directions in parallel to developments on the Web environments.
引用
收藏
页码:117 / 125
页数:9
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