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Authors
Affiliations
1 Sher-e-Kashmir University of Agricultural, Sciences and Technology of Kashmir (SKUASTK), Jammu & Kashmir, IN
2 Department of Library & Information Science, University of Kashmir, Srinagar, Jammu & Kashmir, IN
3 Department of Statistics, Sher-e-Kashmir University of Agricultural, Sciences and Technology of Kashmir (SKUAST-K), Jammu & Kashmir, IN
Source
International Journal of Information Studies & Libraries, Vol 1, No 2 (2016), Pagination: 1-10
Abstract
This paper presents the results of a research conducted on seven search engines - Google, Bing, Yahoo, Ask, Baidu, Dogpile and DuckDuckgo 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.
