Web search using a genetic algorithm

被引：27
|
作者：
Nick, ZZ [1 ]
Themis, P
机构：
[1] Univ Piraeus, Knowledge Engn Lab, Piraeus, Greece
[2] Technol Inst Piraeus, Dept Comp Sci, Piraeus, Greece
[3] Univ Piraeus, Dept Comp Sci, Piraeus, Greece
来源：
IEEE INTERNET COMPUTING | 2001年 / 5卷 / 02期
关键词：
D O I：
10.1109/4236.914644
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Webnaut is an intelligent agent system, which uses genetic algorithm for Web searching. Genetic algorithm helps in learning and adapting the system according to the user's interests. Webnaut is formed from proxy server agents, Web server agent, sitemirror agent, metasearch agent, learning agent, vector-space model, genetic algorithm agents and others. Webnaut uses direct user feedback on its recommendations. It can then know exactly which feature is to be valued and which is to be discarded. The URLs collected by the genetic algorithm agents are presented to the user and are rated by the user as interesting, indifferent, very irrelevant etc. This feedback ensures systems responsiveness to changes in user navigation behavior.
引用
收藏
页码：18 / 26
页数：9
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