Evaluation of three German search engines: Altavista.de, Google.de and Lycos.de

Information Research

Volumn 9, Issue 4, 2004, Pages

  Griesbaum, Joachim ^a  

^a UNIVERSITY OF KONSTANZ   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 4644220427     PISSN: 13681613     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. Bar-Ilan, J. (2002). Methods for measuring search engine performance over time. Journal of the American Society for Information Science and Technology, 53(4), 308-319.
2. Buckley, C. & Voorhees, E.M. (2000). Evaluating Evaluation Measure Stability. In N. J. Belkin, P. Ingwersen, M.-K. Leong and E. Yannakoudakis (Eds.); Proceedings of SIGIR'00, (pp. 33-40). New York: ACM Press.
3. Cleverdon, C. W., Mills, J. & Keen, M. (1966). Factors determining the performance of indexing systems, Vol. 1: Design, Vol. 2: Test results. Cranfield, UK: College of Aeronautics.
4. Dennis, S., Bruza, P. & McArthur, R. (2002). Web searching: a process-oriented experimental study of three interactive search paradigms. Journal of the American Society for Information Science and Technology, 53(2), 120-133.
5. Eguchi, K., Oyama, K., Ishida, E., Kando, N. & Kuriyama, K. (2002). Overview of the Web retrieval task at the Third NTCIR Workshop. Proceedings of the Third NTCIR Workshop on research in information Retrieval, Automatic Text Summarization and Question Answering (September 2001-October, 2002), Tokyo: National Institute of Informatics (NII). Retrieved 27 April, 2003 from http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings3/NTCIR3-OV-WEB- EguchiK.pdf.
6. Ford, N., Miller, D. & Moss, N. (2001). The role of individual differences in Internet searching: an empirical study. Journal of the American Society for Information Science and Technology, 52(12), 1049-1066.
7. Gordon, M. and Pathak, P. (1999). Finding information on the World Wide Web: the retrieval effectiveness of search engines. Information Processing & Management, 35(2), 141-180.
8. Griesbaum, J. (2000). Evaluierung hybrider Suchsysteme im WWW. Unpublished diploma thesis, Universität Konstanz, Konstanz, Germany. Retrieved 28 April, 2003 from http://www.inf.uni-konstanz.de/%7Egriesbau/files/ evaluierung_hybrider_suchsysteme_im_www.pdf.
9. Griesbaum, J., Rittberger, M. & Bekavac, B. (2002). Deutsche Suchmaschinen im Vergleich: AltaVista.de, Fireball. de, Google.de und Lycos.de. In R. Hammwöhner, C. Wolff, and C. Womser-Hacker (Eds.); Information und Mobilität, Optimierung und Vermeidung von Mobilität durch Information, Proceedings des 8. Internationalen Symposiums für Informationswissenschaft, (pp.201-223). Konstanz: UVK, 201-223.
10. Gurrin, C. & Smeaton, A. (2003). Improving the evaluation of Web search systems. In F. Sebastiani (Ed.), Advances in information retrieval: 25th European Conference on IR Research, ECIR 2003, Pisa, Italy, April 14-16, 2003. Proceedings, (pp.25-40) Berlin; New York: Springer. (Lecture Notes in Computer Science 2633)
11. Harter, S.P. (1996). Variations in relevance assessments and the measurement of retrieval effectiveness. Journal of the American Society for Information Science, 47(1), 37-49.
12. Hawking, D., Craswell, N., Bailey, P. & Griffiths, K. (2001). Measuring search engine quality. Journal of Information Retrieval, 4(1), 33-59.
13. Inktomi Corp. Web search relevance test. (2003). Retrieved 6 May, 2003 from the Veritest Website at http://www. veritest.com/clients/reports/inktomi/ inktomi_Web_search_test.pdf
14. Jansen, B., Spink, A. & Saracevic, T. (2000). Real life, real users, and real needs: a study and analysis of user queries on the Web. Information Processing & Management, 36(2), 207-227.
15. Kowalski, G. (1997). Information retrieval systems, theory and implementation. Boston, MA: Kluwer Academic Publishers
16. Leighton, H. V. & Srivastava, J. (1999). First 20 precision among World Wide Web search services (search engines). Journal of the American Society for Information Science, 50(10), 870-881.
17. Lesk, M. (1995). The seven ages of information retrieval. In Proceedings of the Conference for the 50th anniversary of As We May Think. (pp. 12-14). Cambridge, MA: MIT Press.
18. Mandl, T. (2003). Web- und Multimedia-Dokumente. Neuere Entwicklungen bei der Evaluierung von Information Retrieval Systemen. Information: Wissenschaft & Praxis, 54(4), 203-210.
19. Robertson, S.E. (1981). The methodology of information retrieval experiments. In K.S. Jones, (Ed.); Information retrieval experiment. (pp.9-31) London: Butterworth. 9-31.
20. Schamber, L. (1994). Relevance and information behavior. Annual Review of Information Science and Technology. 29, 3-48.
21. Shang, Yi. & Longzhuang, Li. (2002). Precision evaluation of search engines. World Wide Web, 5(2), 159-179.
22. Siegel, S. (1987). Nichtparametrische statistische Methoden (3rd ed.). Eschborn bei Frankfurt am Main: Klotz
23. Spink, A. (2002). A user centered approach to evaluating human interaction with Web search engines: an exploratory study. Information Processing & Management, 38(3), 410-426.
24. Sullivan, D. (2002, December 5). In search of the relevancy figure. SearchEngineWatch.com Retrieved 24 April, 2003 from http://www. searchenginewatch.com/sereport/article.php/2165151
25. Sullivan, D. (2002, April 29). Jupiter MMXI European search engine ratings. SearchEngineWatch.com Retrieved 19 April 2004 from http://Web.archive. org/Web/20030618111440/ http://www.searchenginewatch.com/reports/article. php/2156441)
26. Sullivan, D. (2004, April 28). Major search engines and directories. SearchEngineWatch.com Retrieved 24 April, 2003 from http://www. searchenginewatch.com/links/article.php/2156221
27. Sullivan, D. (n.d.). Search engine optimization & marketing glossary. Palo Alto, CA: SEMPO: Search Engine Marketing Professional Organization. Retrieved 19 April, 2004 from the SEMPO Website at http://www.sempo.org/search- engine-marketing-glossary.php
28. Tague-Sutcliffe, J. (1992). The pragmatics of information retrieval experimentation, revisited. Information Processing & Management, 28(4), 467-490.
29. Womser-Hacker, C. (1989).Der PADOK Retrievaltest. Zur Methode und Verwendung statistischer Verfahren bei der Bewertung von Information- Retrieval-Systemen. Hildesheim Georg Olms.