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An Automated Framework based on Three Level Scoring Method to Choose Best Search Engine in a Particular Domain

by Naresh Kumar, Rajender Nath, Pooja Kherwa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 14
Year of Publication: 2013
Authors: Naresh Kumar, Rajender Nath, Pooja Kherwa
10.5120/14520-2920

Naresh Kumar, Rajender Nath, Pooja Kherwa . An Automated Framework based on Three Level Scoring Method to Choose Best Search Engine in a Particular Domain. International Journal of Computer Applications. 83, 14 ( December 2013), 42-48. DOI=10.5120/14520-2920

@article{ 10.5120/14520-2920,
author = { Naresh Kumar, Rajender Nath, Pooja Kherwa },
title = { An Automated Framework based on Three Level Scoring Method to Choose Best Search Engine in a Particular Domain },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 14 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 42-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number14/14520-2920/ },
doi = { 10.5120/14520-2920 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:24.584096+05:30
%A Naresh Kumar
%A Rajender Nath
%A Pooja Kherwa
%T An Automated Framework based on Three Level Scoring Method to Choose Best Search Engine in a Particular Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 14
%P 42-48
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today, using search engine is the most widely used activity on the World Wide Web. But choosing the most suitable search engine that can provide the most relevant contents is really a tough job. One search engine is better in one domain may not be better in another domain. To address this problem of finding suitable search engine for a given domain, this paper presents an automated frame work based upon Three Level Scoring (TLS) methods for choosing the best search engine in a given domain. The proposed framework has been tested experimentally by implementing in C# programming language.

References
  1. Shang Yi and Longzhuang Li (2002), "Precision Evaluation of Search Engines", in WWW, ACM journal, Volume 5, Issue 2, pp. 159 – 173.
  2. Xiaoying Dong and Louise T. Su (1997),"Search engines on the world wide web and information retrieval from the internet: A review and evaluation", in Emerald – online information Review, pp. 67–81.
  3. Leighton H. Vernon and Srivastava Jaideep (1999), "First 20 precision among world wide web search services, in Journal of the American Society for Information Science, pp. 870–88.
  4. Wishard, Lisa (1998) Precision Among Internet Search Engines: An Earth Sciences Case Study. Issues in Science and Technology Librarianship. No. 18, Spring: http://www. library. ucsb. edu/istl/98-spring/article5. html.
  5. Fazli Can, Nuray Rabia, Sevdik A. B. (2003), "Automatic performance evaluation of Web search engines", in Information Processing and Management (Elsevier), pp. 495-514.
  6. Kumar Rakesh, Suri P. K. , & Chauhan R. K. (2005), "Search Engines Evaluation", in DESIDOC Bulletin of Information Technology, Vol. 25, No. 2, pp. 3-10.
  7. Shang Y. and Longzhuang (2000), "A new method for automatic performance comparison of search engines" in World Wide Web (Springer), pp. 241 – 247.
  8. Fu Yiqun Liu, Yupeng, Zhang Min, Shaoping Ma, Liyun Ru (2007), "Automatic Search Engine Performance Evaluation with Click-through Data Analysis", In Proceedings of the 16th international conference on World Wide Web, pp. 1133-1134.
  9. Cormack G. V. ,. Clarke C. L. A, Palmer C. R. (1999), "Fast Automatic Passage Ranking" in Proceedings of the Eighth Text Retrieval Conference pp. 735-742.
Index Terms

Computer Science
Information Sciences

Keywords

WWW search engine precision relevance user efforts technical domain domain medical domain mixed domain domain query Criteria ranking.

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