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Journal of Information & Systems Management (JISM) |
Retrieval Efficiency of Search Engines on Medical Tourism in Kerala: A Webometric Analysis | Thanuskodi S, Naseehath S Alagappa University Karaikudi India | Abstract: World Wide Web is like an ocean of information; it is not easy to find specific information from it because the web
is very huge and growing all the time. So there are certain tools used to search information from the web. They are called search
engines. They search through all the web sites and create an index of the information of the web sites and act as a single point
to find relevant information. E.g. Google, Yahoo, Bing, Lycos, Info seek etc. Analysis on 8 representative variables form all the
subsectors of on Medical Tourism in Kerala, the search engine Lycos retrieves 59% of the total results and stands first followed
by Bing in the second position with 37% and Google in third position with only 2% of results . The remaining less than 1% is
shared by all Metasearch engines, of these Ixquick stands first with a slight difference from others followed by Dogpile and
WebCrawler Analysis of 10 variables on Ayurveda tourism Lycos occupies first place with a high result of 85% and Google in
the second position followed by Bing in the third position with a less Percentage of 7 and 6 respectively. Among Metasearch
engines Ixquick stands first, followed by WebCrawler and Dogpile. | Keywords: Search Engines, Retrieval Efficiency, Medical Tourism, Webometrics, Internet |
DOI:https://doi.org/10.6025/jism/2019/9/3/91-99 | Full_Text   PDF 182 KB    Download:   320  times | References:[1] Bar-Ilan (1998). On the overlap, the precision and estimated recall of search engines: A case study of the query “Erdosâ€.
Scientometrics,42 (2) 207-208
[2] Bharat, K., & Broder, A. (1998). A technique for measuring the relative size and overlap of public Web search engines. Computer Networks and ISDN Systems, 30 (1–7) 379–388.
[3] Chignell, M. H., Gwizdka, J., Bodner, R. C. (1999). Discriminating meta-search: A framework for evaluation. Information Processing and Management, 35, 337–362.
[4] Chowdhury, G. G. (2002). Information sources and searching on the World Wide Web. Program, 36 (3) 206.
[5] Clarke, S. and Willett, P. (1997). Estimating the recall performance of search engines. ASLIB Proceedings, 49 (7) 184-189.
[6] Ding, W., Marchionini, G. (1996). A comparative study of the Web search service Performance. In: Proceedings of the ASIS 1996 Annual Conference, October, 33, 136-142.
[7] Leighton, H. and Srivastava, J. (1997).Precision among WW search services (search engines ): Alta Vista, Excite, HotBot, Infoseek and Lycos. Retrieved December 15, 2014 from http://www.winona.edu/library/webind.htm. |
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