|   homepage   |   about E-LIS   |   browse   |   search   |   help   |   classification schema   |   submission guidelines   ||
| Login/Your pages | Create Account|

Mengukur kinerja search engine : sebuah eksperimentasi penilaian precision and recall untuk informasi ilmiah bidang ilmu perpustakaan dan informasi [Search Engines performance evaluation: an experimental the value of precision and recall for scientific information in LIS field.]

Hardi, Wishnu (2006) Mengukur kinerja search engine : sebuah eksperimentasi penilaian precision and recall untuk informasi ilmiah bidang ilmu perpustakaan dan informasi [Search Engines performance evaluation: an experimental the value of precision and recall for scientific information in LIS field.]. [Journal Article (Print/Paginated)]

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
148Kb Language: Indonesian

Abstract(s)

The article examine performance in six major search engines that is Google, Yahoo, AOL, Askjeeves, Scirus, and Sciseek. Assesment of recall and precision was applied with limititation to Library and Information Science.


Item Type:Journal Article (Print/Paginated)
Keywords:sistem temu kembali informasi, precision and recall, ketepatan dan perolehan, efektivitas mesin pencari, ilmu perpustakaan dan informasi, evaluasi searh engine, veritas document management, wishnu hardi
Subjects:L. Information technology and library technology. > LS. Search engines.
Full Metadata:Show all fields
ID Code:11208
Deposited By:Hardi, Wishnu
Deposited On:21 Aug 2007
Last Modified:19 Nov 2008 12:57
Statistics:View statistics for this eprint

Chu, H, & Rosenthal M. 1996). “Search engines for the World Wide Web: a comparative study and evaluation methodology” in Proceedings of the ASIS 1996 Annual Conference, October, 33. p.127-35.

http://www.asis.org/annual-96/ElectronicProceedings/chu.html.

Accessed April 4, 2006.

Clarke, S., & Willett, P. (1997). “Estimating the recall performance of search engines” dalam ASLIB Proceedings, 49 (7). p. 184-189.

Kekäläinen, Jaana dan Kalervo Jarvelin. 2002. “Using graded relevance assesment in IR evaluation”, Journal of the American Society for Information Science and Technology, Nov 2002 : 53, 13; Academic Research Library. p.1120.

Lancaster, F.W., and Fayen, E.G. 1973. Information Retrieval On-Line. Los Angeles, CA: Melville Publishing Co.

Leighton, H., & Srivastava, J.1997. Precision among WWW search services (serach engines): Alta Vista, Excite, HotBot, Infoseek and Lycos. http://www.winona.edu/library/webind2.htm. Accessed April 11, 2006.

Mea, Vincenzo Della and Stefano Mizzaro. 2004. “Measuring retrieval effectiveness: a new proposal and a first experimental validation”, dalam Journal of the American Society for Information Science and Technology; Apr. 2004; 55, 6; Academic Research Library. p.530.

Mizzaro, Stefano. 1997. “Relevance: The whole history” in Journal of the American Society for Information Science, 48. p. 810-832.

Salton, G and M.I McGill. 1984. Introduction to modern information retrieval. New York: McGraw-Hill.

Saracevic, T. 1996. “Relevance reconsidered” in Proceedings of the international conference on conceptions of library and information science: integration in perspective. Copenhagen: The Royal School of Librarianship.

p. 201-218.

Schamber, I. 1994. Relevance information behaviour in Annual review of information science and technology 29. NJ: Information Today. p. 3-48.

Selingo, Jeffrey. “When search engine isn’t enough, call a librarian”, New York Times, February 5, 2004.

Shafi, S.M and Rafiq A. Rather. 2005. “Precision and Recall of Five Search Engines for Retrieval Scholarly Information in the Field of Biotechnology”. Webology, Vol.2 No.2, August. 2005.

Sullivan, Danny. Major search engines and directories. http://www.searchenginewatch.com. Accessed March 13, 2006.

Archive Staff Only: edit this record

|     E-LIS is hosted by AEPIC at CILEA     |     Powered by GNU Eprints software|