A COMBINED MEASURE FOR REPRESENTATIVENESS ON INFORMATION RETRIEVAL IN WEB SEARCH

被引：0

作者：

Ma, Baojun ^{[1
]}

Wei, Qiang ^{[1
]}

Chen, Guoqing ^{[1
]}

机构：

[1] Tsinghua Univ, Sch Econ & Management, Beijing 100084, Peoples R China

来源：

COMPUTATIONAL INTELLIGENCE: FOUNDATIONS AND APPLICATIONS: PROCEEDINGS OF THE 9TH INTERNATIONAL FLINS CONFERENCE | 2010年 / 4卷

关键词：

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：

Information retrieval is one of the important technologies adopted by search engines. This paper discusses the representativeness of a small set of search results extracted from the original results, which is deemed desirable in web search, and then proposes a combined measure, namely RF(beta) to evaluate the extracted small set in terms of the notions of coverage and redundancy. Data experimental results on Google, TCW and Random extraction strategies show that the RF(beta) measure could effectively evaluate the representativeness considering users' preferences.

引用

页码：659 / 665

页数：7

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