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Precision, Recall and F-Measure of Select Search Engines: Retrieval of Research Article in the Field of Library and Information Science

International Journal of Information Studies and Libraries

Volume 1 Issue 2

Published: 2016
Author(s) Name: Peerzada Mohammad Iqbal, Abdul Majid Baba, Bilal Ahmad Bhat | Author(s) Affiliation:
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Abstract

This paper presents the results of a research conducted on seven search engines- Google, Bing, Yahoo, Ask, Baidu, Dogpile and Duck Duckgo for retrieving scholarly articles using Library and Information Science related search terms. The search engines are evaluated by taking the first twenty results pertaining to scholarly articles for estimation of precision, recall and F-measure. It shows that Baidu is most comprehensive in retrieving scholarly articles followed by Google and Dogpile. It also reveals that all search engines (except Ask and Dogpile) perform well on structured queries while Ask and Dogpile performs better on unstructured queries.

Keywords: Search Engine, Precision, Recall, F-measure, Scholarly Information, Library and Information Science

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