A Heuristic Approach for Search Engine Selection in Meta-search Engine

被引：0

作者：

Kumar, Rajesh ^{[1
]}

Singh, Sunil Kumar ^{[1
]}

Kumar, Virendra ^{[1
]}

机构：

[1] Galgotias Univ, Sch Comp Sci & Engn, Greater Noida, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION & AUTOMATION (ICCCA) | 2015年

关键词：

Meta-search engine; query; search engine; genetic algorithms; document;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The web becomes a huge resource of information. The people all over the world use the web on a regular basis and the number of users is increasing rapidly. Whenever a user needs to retrieve the information on the web, the information need of the user is stored in databases of the different underlying search engine. It is very challenging task to identify most relevant underlying search engine that is likely to be contain the useful information for a user query. In this paper, we proposed an algorithm to select the appropriate search engine in meta-search engine for the user query using genetic algorithm and compare with existing algorithm. The objective of search engine selection is to improve the efficiency as it would result in sending a query to only potentially useful underlying search engine.

引用

页码：865 / 869

页数：5

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