Abstract
Commercial search engines were put to a test as we searched the online Wikipedia which is a newer version of the INEX 2010 document collection. Although the INEX 2010 ad hoc search tasks and the search features of the public search engines are not 100% compatible, we were able to compare and evaluate the search results of online search engines with INEX 2010 topics, assessments, and metrics. Considering the first page of results, we cannot see a big difference between the performance of the best academic search engines and the best commercial ones. Of the public search engines, Google and Yahoo perform marginally better than Bing and significantly better than the on-site Wikipedia search.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Arvola, P., Geva, S., Kamps, J., Schenkel, R., Trotman, A., Vainio, J.: Overview of the inex 2010 ad hoc track. In: Geva, S., et al. (eds.) INEX 2010. LNCS, vol. 6932, pp. 1–32. Springer, Heidelberg (2011)
Bar-Ilan, J., Mat-Hassan, M., Levene, M.: Methods for comparing rankings of search engine results. Comput. Netw. 50, 1448–1463 (2006)
Clarke, C.L., Kolla, M., Cormack, G.V., Vechtomova, O., Ashkan, A., Büttcher, S., MacKinnon, I.: Novelty and diversity in information retrieval evaluation. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, pp. 659–666. ACM, New York (2008)
Ganjisaffar, Y., Javanmardi, S., Lopes, C.: Leveraging crowdsourcing heuristics to improve search in wikipedia. In: Proceedings of the 5th International Symposium on Wikis and Open Collaboration, WikiSym 2009, pp. 27:1–27:2. ACM, New York (2009)
Kim, Y.S., Kang, B.H., Compton, P., Motoda, H.: Search engine retrieval of changing information. In: Proceedings of the 16th International Conference on World Wide Web, WWW 2007, pp. 1195–1196. ACM, New York (2007)
Tumer, D., Shah, M.A., Bitirim, Y.: An empirical evaluation on semantic search performance of keyword-based and semantic search engines: Google, yahoo, msn and hakia. In: Proceedings of the 2009 Fourth International Conference on Internet Monitoring and Protection, pp. 51–55. IEEE Computer Society, Washington, DC, USA (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lehtonen, M. (2011). Searching the Wikipedia with Public Online Search Engines. In: Geva, S., Kamps, J., Schenkel, R., Trotman, A. (eds) Comparative Evaluation of Focused Retrieval. INEX 2010. Lecture Notes in Computer Science, vol 6932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23577-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-23577-1_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23576-4
Online ISBN: 978-3-642-23577-1
eBook Packages: Computer ScienceComputer Science (R0)