Rungta International Journal of Electrical and Electronics Engineering

2016 | Volume 1 | Issue Issue 2

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

1. Peerzada Mohammad Iqbal

2. Abdul Majid Baba

3. Bilal Ahmad Bhat

Received
22-Dec-2016 		Accepted
- 		Published
22-Dec-2016
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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