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Tripathy, P. K.
- Productive Information Searching:Query Wise Study of Search Engines Effectiveness
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1 Librarian, Regional Inst. of Edu. (NCERT), Bhopal, Madhya Pradesh, IN
1 Librarian, Regional Inst. of Edu. (NCERT), Bhopal, Madhya Pradesh, IN
Source
International Journal of Information Library and Society, Vol 8, No 2 (2019), Pagination: 11-19Abstract
Internet is the most potent source of information, side by side it has the most difficult mechanism/system to retrieve relevant information because of its infinite coverage, innovative information models, and complex indexing algorithms. As retrieval tools the Search Engines are striving continuously to cover major portion of the Internet and develop strong index of it for satisfying information need of the Internet users, in which some are successful and others are less to them. The present paper is the output of the research conducted to find out and compare the retrieval effectiveness of different search engines working in India like, Google, Yahoo, Alta Vista, Rediff, Khoj, and Guruji. By method of testing of some queries (collected from researchers in the field of Education) on all search engines the researcher has drawn some findings.Keywords
Information Retrieval System (IRS), Search Engines, Web Searching.
References
- Berners-Lee, T., Cailliau, R., Luotonen, A., Nielsen, H. F., & Secret, A. (1994). The World Wide Web. Communication of ACM, 37(8), 76-82.
- Kang, I. H., & Kim, G. (2003). Query Type Classification for Web Document Retrieval. SIGIR Forum, ACM Special Interest Group on Information Retrieval, SPEC. ISS., 64-71.
- Landoni, M., & Bell, S. (2000). Information retrieval techniques for evaluating search engines: A critical overview. ASLIB Proceedings, 52(3), 125-129.
- Lewandowski, D. (2008). The retrieval effectiveness of web search engines: considering results descriptions. Journal of Documentation, 64(6), 915-937.
- Lewandowski, D. (2011). The retrieval effectiveness of search engines on navigational queries. Aslib Proceedings, 63(4), 354-363.
- Lewandowski, D., & Hochstotter, N. (2008). Web searching: A quality measurement perspective. In Spink, A.; Zimmer, M. (Eds.), Web Search: Multidisciplinary Perspectives, Springer, Berlin, 309-340.
- Oppenheiem, C., Moris, A, Mcknight, C., & Lowley, S. (2000). The evaluation of WWW search engines. Journal of Documentation, 56(2), 190-21.
- Pirkola, A. (2009). The effectiveness of web search engines to index new sites from different countries” Information Research, 14(2) paper 396. Retrieved May 20, 2012 from http://InformationR.net/ir/14-2/paper 396.html
- Schlichting, C., & Nilsen, E. (1996). Signal detection analysis of WWW search engines. Retrieved September 15, 2018 from http://www.microsoft.com/usability/webconf/schlichting/ schlichting .htm
- Shafi, S. M., & Rather, R. A. (2005). Precision and recall of five search engines for retrieval of scholarly information in the field of Biotechnology. Webology, 2(2). Retrieved August 13, 2008 from http://www.webology.ir/2005/v2n2/ a12.html
- Tunkelang, D. (2017). Evaluating Search: Measure It. Retrieved March 18, 2018 from https://medium.com/@dtunkelang/evaluating-good-search-part-i-measure-it-5507b2dbf4f6
- World Wide Web Consortium. (2018). Retrieved March 18, 2018 from http://www.w3.org/WWW/TheProject.html