Optimizing search engines results using linear programming

被引：29

作者：

Amin, Gholam R. ^{[1
]}

Emrouznejad, Ali ^{[2
]}

机构：

[1] Islamic Azad Univ, S Tehran Branch, Postgrad Engn Ctr, Dept Comp Engn, Tehran 1418765663, Iran

[2] Aston Univ, Aston Business Sch, Birmingham B4 7ET, W Midlands, England

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 09期

关键词：

Linear programming; Web search engine; Optimization; Metasearch; WEB; OWA;

D O I：

10.1016/j.eswa.2011.03.030

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

When a query is passed to multiple search engines, each search engine returns a ranked list of documents. Researchers have demonstrated that combining results, in the form of a "metasearch engine", produces a significant improvement in coverage and search effectiveness. This paper proposes a linear programming mathematical model for optimizing the ranked list result of a given group of Web search engines for an issued query. An application with a numerical illustration shows the advantages of the proposed method. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：11534 / 11537

页数：4

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