International Journal of Information Studies & Libraries

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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


Affiliations
1 Sher-e-Kashmir University of Agricultural, Sciences and Technology of Kashmir (SKUASTK), Jammu & Kashmir, India
2 Department of Library & Information Science, University of Kashmir, Srinagar, Jammu & Kashmir, India
3 Department of Statistics, Sher-e-Kashmir University of Agricultural, Sciences and Technology of Kashmir (SKUAST-K), Jammu & Kashmir, India
     

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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.
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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

Abstract Views: 299  |  PDF Views: 0

Authors

Peerzada Mohammad Iqbal
Sher-e-Kashmir University of Agricultural, Sciences and Technology of Kashmir (SKUASTK), Jammu & Kashmir, India
Abdul Majid Baba
Department of Library & Information Science, University of Kashmir, Srinagar, Jammu & Kashmir, India
Bilal Ahmad Bhat
Department of Statistics, Sher-e-Kashmir University of Agricultural, Sciences and Technology of Kashmir (SKUAST-K), Jammu & Kashmir, India

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.