New perspectives on Web search engine research

Lewandowski, Dirk New perspectives on Web search engine research., 2012 [Preprint]

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English abstract

Purpose–The purpose of this chapter is to give an overview of the context of Web search and search engine-related research, as well as to introduce the reader to the sections and chapters of the book. Methodology/approach–We review literature dealing with various aspects of search engines, with special emphasis on emerging areas of Web searching, search engine evaluation going beyond traditional methods, and new perspectives on Webs earching. Findings–The approaches to studying Web search engines are manifold. Given the importance of Web search engines for knowledge acquisition, research from different perspectives needs to be integrated into a more cohesive perspective. Researchlimitations/implications–The chapter suggests a basis for research in the field and also introduces further research directions. Originality/valueofpaper–The chapter gives a concise overview of the topics dealt with in the book and also shows directions for researchers interested in Web search engines.

Item type: Preprint
Keywords: Web search research, web search engine, search engine-related research, search engine market, information retrieval, Google, Information Science research communities
Subjects: L. Information technology and library technology
L. Information technology and library technology > LC. Internet, including WWW.
L. Information technology and library technology > LS. Search engines.
Depositing user: Dirk Lewandowski
Date deposited: 30 Jun 2012
Last modified: 02 Oct 2014 12:22
URI: http://hdl.handle.net/10760/17243

References

Balatsoukas, P., Morris, A., & O’Brien, A. (2009). An evaluation framework of user interaction with metadata surrogates. Journal of Information Science, 35(3), 321-339.

Bar-Ilan, J. (2004). The use of web search engines in information science research. In B. Cronin (Ed.), Annual review of information science and technology (Vol. 38, pp. 231-288). Medford, NJ: Information Today, Inc.

Berners-Lee, T., Hall, W., Hendler, J. A., O’Hara, K., Shadbolt, N., & Weitzner, D. J. (2006). A framework for web science. Foundations and Trends in Web Science, 1(1), 1–130. Hanover, Mass.: Now Publishers Inc.

Berners-Lee, T., Hall, W., Hendler, J., & Weitzner, D. J. (2006). Creating a science of the web. Science, 313(5788), 769–771.

Buganza, T., & Della Valle, E. (2010). The search engine industry. In S. Ceri & M. Brambilla (Eds.), Search computing: Challenges and directions (pp. 45-71). Berlin, Heidelberg: Springer.

Choi, H., & Varian, H. (2009). Predicting initial claims for unemployment benefits. Retrieved from http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en//archive/papers/initialclaimsUS.pdf

Clay, B. (2011a). Search engine relationship chart histogram. Retrieved from http://www.bruceclay.com/serc_histogram/histogram.htm

Clay, B. (2011b). Search engine relationship chart. Retrieved from http://www.bruceclay.com/searchenginechart.pdf

ComScore. (2009). Global search market draws more than 100 billion searches per month - comScore, Inc. Retrieved September 26, 2011, from http://www.comscore.com/Press_Events/Press_Releases/2009/8/Global_Search_Market_Draws_More_than_100_Billion_Searches_per_Month

van Couvering, E. (2007). Is relevance relevant? Market, science, and war: Discourses of search engine quality. Journal of Computer-Mediated Communication, 12(3), 866-887.

van Cuilenburg, J. (2000). On measuring media competition and media diversity. Concepts, theories and methods. In R. G. Picard (Ed.), Measuring media content, quality and diversity. Approaches and issues in content research (pp. 51-84). Turku: Turku School of Economics.

Denecke, K. (2009). Assessing content diversity in medical weblogs. Proceedings of the First International Workshop on Living Web at the 8th International Semantic Web Conference (ISWC). Retrieved from http://livingknowledge.europarchive.org/images/publications/LivingWeb.pdf

Eimeren, B. V., & Frees, B. (2011). Drei von vier Deutschen im Netz – ein Ende des digitalen Grabens in Sicht? Media Perspektiven, (7-8), 334-349.

Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009). Detecting influenza epidemics using search engine query data. Nature, 457(7232), 1012-1014.

Giunchiglia, F., Maltese, V., Madalli, D., Baldry, A., Wallner, C., Lewis, P., Denecke, K., Skoutas, D., and Marenzi, I. (2009). Foundations for the representation of diversity, evolution, opinion and bias. Retrieved from http://eprints.biblio.unitn.it/archive/00001758/01/063.pdf

Goel, S., Hofman, J. M., Lahaie, S., Pennock, D. M., & Watts, D. J. (2010). Predicting consumer behavior with web search. Proceedings of the National Academy of Sciences of the United States of America, 107(41), 17486-90.

Hargittai, E. (2007). The social, political, economic, and cultural dimensions of search engines: An introduction. Journal of Computer-Mediated Communication, 12(3), 769-777.

Hendry, D., & Efthimiadis, E. (2008). Conceptual models for search engines. In Amanda Spink & M. Zimmer (Eds.), Web searching: Interdisciplinary perspectives (pp. 277-308). Berlin: Springer.

Höchstötter, N., & Koch, M. (2009). Standard parameters for searching behaviour in search engines and their empirical evaluation. Journal of Information Science, 35(1), 45.

Höchstötter, N., & Lewandowski, D. (2009). What users see – Structures in search engine results pages. Information Sciences, 179(12), 1796-1812.

Jacsó, P. (2008). How many web-wide search engines do we need? Online Information Review, 32(6), 860-865.

Jansen, B. J., & Spink, A. (2006). How are we searching the World Wide Web? A comparison of nine search engine transaction logs. Information Processing & Management, 42(1), 248–263. Elsevier.

Lewandowski, D. (2005). Web searching, search engines and information retrieval. Information Services & Use, 25, 137-147.

Lewandowski, D. (2008). Suchmaschinenforschung im Kontext einer zukünftigen Webwissenschaft. In K. Scherfer (Ed.), Webwissenschaft – Eine Einführung (pp. 268-282). Münster: Lit.

Lewandowski, D., & Höchstötter, N. (2008). Web searching: A quality measurement perspective. In A. Spink & M. Zimmer (Eds.), Web search: Multidisciplinary perspectives (pp. 309-340). Berlin, Heidelberg: Springer.

Lunapark. (2011). Suchmaschinen-Marktanteile. Lunapark. Retrieved from http://www.luna-park.de/home/internet-fakten/suchmaschinen-marktanteile.html

Machill, M., Beiler, M., & Zenker, M. (2008). Search-engine research: A European-American overview and systematization of an interdisciplinary and international research field. Media, Culture & Society, 30(5), 591-608.

Microsoft. (2009). Microsoft, Yahoo! Change search landscape. Retrieved September 26, 2011, from http://www.microsoft.com/presspass/press/2009/jul09/07-29release.mspx

Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236-263.

Purcell, K. (2011). Search and email still top the list of most popular online activities. http://www.pewinternet.org/~/media//Files/Reports/2011/PIP_Search-and-Email.pdf

Riemer, K., & Brüggemann, F. (2009). Personalisierung der Internetsuche - Lösungstechniken und Marktüberblick. In D. Lewandowski (Ed.), Handbuch Internet-Suchmaschinen (pp. 148-171). Heidelberg: Akademische Verlagsgesellschaft Aka.

Schraefel, M. C. (2009). Building knowledge: What’s beyond keyword search? Computer, 42(3), 52-59.

Spink, A., & Zimmer, M. (2008). Conclusions and future research. In A. Spink & M. Zimmer (Eds.), Web search: Multidisciplinary perspectives (pp. 343-347). Dordrecht: Springer.

Sterling, G. (2011). Google search share plateaus, BingHoo gains, AOL drops. Search Engine Land. Retrieved September 26, 2011, from http://searchengineland.com/google-search-share-plateaus-binghoo-gains-aol-drops-92714

Thelwall, M. (2004). Link analysis: An information science approach. Library and information science. Amsterdam: Academic Press.

Zheng, Y., Zhang, L., & Xie, X. (2009). Mining interesting locations and travel sequences from GPS trajectories. Proceedings of the 18th World Wide Web Conference (p. 791). New York: ACM Press.

Zhu, Q. (2011). Using a Delphi method and the Analytic Hierarchy Process to evaluate the search engines: A case study on Chinese search engines. Online Information Review, 35 [in press].

Zimmer, M. (2010). Web search studies: Multidisciplinary perspectives on web search engines. In J. Hunsinger, L. Klastrup, & M. Allen (Eds.), International Handbook of Internet Research (pp. 507-521). Dordrecht: Springer.


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