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A comparative analysis of the search feature effectiveness of the major English and Chinese search engines

Jin Zhang (School of Information Studies, University of Wisconsin Milwaukee, Milwaukee, Wisconsin, USA)
Wei Fei (Suzhou Library, Suzhou, China)
Taowen Le (Goddard School of Business and Economics, Weber State University, Ogden, Utah, USA)

Online Information Review

ISSN: 1468-4527

Article publication date: 12 April 2013

967

Abstract

Purpose

The purpose of this paper to investigate the effectiveness of selected search features in the major English and Chinese search engines and compare the search engines’ retrieval effectiveness.

Design/approach/methodology

The search engines Google, Google China, and Baidu were selected for this study. Common search features such as title search, basic search, exact phrase search, PDF search, and URL search, were identified and used. Search results from using the five features in the search engines were collected and compared. One‐way ANOVA and regression analysis were used to compare the retrieval effectiveness of the search engines.

Findings

It was found that Google achieved the best retrieval performance with all five search features among the three search engines. Moreover Google achieved the best webpage ranking performance.

Practical implications

The findings of this study improve the understanding of English and Chinese search engines and the differences between them in terms of search features, and can be used to assist users in choosing appropriate and effective search strategies when they search for information on the internet.

Originality/value

The original contributions of this paper are that the Chinese and English search engines in both languages are compared for retrieval effectiveness. Five search features were evaluated, compared, and analysed in the two different language environments by using the discounted cumulative gain method.

Keywords

Citation

Zhang, J., Fei, W. and Le, T. (2013), "A comparative analysis of the search feature effectiveness of the major English and Chinese search engines", Online Information Review, Vol. 37 No. 2, pp. 217-230. https://doi.org/10.1108/OIR-07-2011-0099

Publisher

:

Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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