This study evaluated two different types of online information retrieval (IR) systems: online databases and Web search engines, in terms of user generated criteria. It also compares four types of Web search engines: directories, search engines, meta‐search engines, and specialized search engines. The results show that three elements are essential to users in the evaluation of online IR systems: interface design, system performance and collection coverage. While participants preferred the ease of use and intuitive interfaces of Web search engines, they also liked the credible and useful information offered by online databases. Based on the discussion of advantages and problems of online databases and Web search engines, implications of for the design of IR systems are further suggested.
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1 June 2004
Research Article|
June 01 2004
Online IR system evaluation: online databases versus Web search engines
Hong (Iris) Xie
Hong (Iris) Xie
Associate Professor in the School of Information Studies, University of Wisconsin‐Milwaukee, Milwaukee, Wisconsin, USA
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Publisher: Emerald Publishing
Online ISSN: 1468-4535
Print ISSN: 1468-4527
© Emerald Group Publishing Limited
2004
Online Information Review (2004) 28 (3): 211–219.
Citation
Xie H( (2004), "Online IR system evaluation: online databases versus Web search engines". Online Information Review, Vol. 28 No. 3 pp. 211–219, doi: https://doi.org/10.1108/14684520410543652
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