Abstract
Web search behavior is being diversified. And the diversification of web search behavior makes query both sporadic and non-sequential. In this case, it is difficult to understand why and how users search any information. Context of web search makes it possible to classify sporadic and non-sequential queries according to each interest. However, only the user him/herself can identify the context of web search behavior exactly. Hence, it is necessary to conduct a client-side research in which users are deeply engaged. The purpose of this research is to develop and apply the methodology that systematically examines the web search behavior and its context. To achieve this, (1) client-side log data is collected, then participants (2) clustered the queries based on context and (3) filled in a questionnaire as to each clustered queries. Also, interviews were conducted in each person. The finding of this study is that the features of UCQS are different from previous studies. Furthermore, we identified the flow of users’ web search behavior.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Spink, A., Park, M., Jansen, J.B.: Multitasking during Web search sessions. Inf. Proc. Manage. 42(1), 264–275 (2006)
Patrick Dubroy, R.B.: A Study of Tabbed Browsing Among Mozilla Firefox Users. In: CHI 2010: Browsing, The research on the actual condition of the internet usage in Korea. KISA, Seoul, pp. 673–682 (2009)
Jansen, B.J., Pooch, U.: A review of Web searching studies and a framework for future research. Journal of the American Society for Information Science and Technology 52(3), 235–246 (2001)
Hoelscher, C.: How Internet experts search for information on the Web. In: World Conference of the World Wide Web, Internet, and Intranet, Association for the Advancement of Computing in Education, Orlando (1998); (Note: Published on CD-ROM with no page numbers)
Jansen, B.J., Spink, A., Bateman, J., Saracevic, T.: Real life information retrieval: A study of user queries on the web. SIGIR Forum 32(1), 5–17 (1998)
Jansen, B.J., Spink, A., Saracevic, T.: Real life, real users, and real needs: A study and analysis of user queries on the web. Information Processing and Management 36(2), 207–227 (2000)
Silverstein., C., Marais., H., Henzinger., M., Moricz, M.: Analysis of a very large web search engine query log. SIGIR Forum 33(1), 6–12 (1999)
Jansen, B.J., Spink, A., Pedersen, J.: A temporal comparison of AltaVista Web searching. Journal of the American Society for Information Science and Technology 56, 559–570 (2005)
Jansen, Spink: How are we searching the World Wide Web? A comparison of nine search engine transaction logs. Information Processing and Management 42(1), 248–263 (2006)
Zhang, M., Jansen, B.J., Spink, A.: Information Searching Tactics of Web Searchers. American Society for Information Science and Technology 43, 1–14 (2006)
Catledge, L.D., Pitkow, J.E.: Characterizing browsing strategies in the World-Wide Web. Computer Networks and ISDN System 27(6), 1065–1073 (1995)
Jones, R., Klinkner, K.L.: Beyond the Session Timeout: Automatic Hierarchical Segmentation of Search Topics in Query Logs. In: 17th ACM Conference on Information and knowledge Management, pp. 699–707. ACM, New York (2008)
Anick, P.: Using Terminological Feedback for Web Search Refinement – Alog-based Study. In: 26th Annual International ACM SIGIR Conference on Research and Development in Informaion Retrieval, pp. 88–95. ACM., New York (2003)
He, D., Göker, A.: Detecting session boundaries from Web user logs. In: 22nd Annual Colloquium on IR 5Research IRSG 2000, Cambridge, UK, pp. 57–66 (2000)
Spink, A., Park, M., Jansen, B.J., Pedersen, J.: Multitasking during Web search Sessions. Information Processing and Management 42(1), 264–275 (2006)
Jansen, B.J., Spink, A., Blakely, C., Koshman, S.: Defining a Session on Web Search Engines. JASIST 58, 862–871 (2007)
Boldi, P., Bonchi, F., Castillo, C., Donato, D., Gionis, A., Vigna, S.: The Query-flow Graph: Model and Applications. In: 17th
Jones, R., Klinkner, K.L.: Beyond the Session Timeout: Automatic Hierarchical Segmentation of Search Topics in Query Logs. In: 17th ACM conference on Information and knowledge management, pp. 699–707. ACM, New York (2008)
Kelly, D., Cool, C.: The effects of topic familiarity on information search behavior. In: Hersh, W., Marchionini, G. (eds.) Proceedings of the Second ACM/IEEE Joint Conference on Digital Libraries (JCDL 2002), pp. 74–75. ACM Press, New York (2002)
Kellar, M., Watters, C., Shepherd, M.: A field study characterizing Web-based information-seeking tasks. Journal of the American Society for Information Science and Technology 58, 999–1018 (2007)
Saracevic, T.: The stratified model of information retrieval interaction: Extension and applications. In: Schwartz, C.S. (ed.) Proceedings of the Annual Meeting of the American Society for Information Science (ASIS 1997), pp. 3–9. American Society for Information Science and Technology, MD (1997)
Ingwersen, P., Jarvelin, K.: Information retrieval in context. In: Ingwersen, P., Belkin, N.J. (eds.) Proceedings of the SIGIR 2004 Workshop on Information Retrieval in Context, pp. 6–9. ACM Press, New York (2004)
Belkin, N.J.: Ineffable concepts in information retrieval. In: Sparck Jones, K. (ed.) Information retrieval experiment, pp. 44–58. Butterworth, London (1981)
Cool, C.: The concept of situation in information science. Annual Review of Information Science and Technology 35, 5–42 (2001)
Vakkari, P.: Task-based information searching. Annual Review of Information Science and Technology 37, 413–464 (2003)
Choo, C., Detlor, B., Turnbull, D.: Information seeking on the web: An integrated model of browsing and searching. First Monday 5(2) (2000), http://www.firstmonday.org/ISSUES/issue5_2/choo/index.html
Lin, S.J., Belkin, N.J.: Modeling multiple information seeking episodes. In: Roderer, N. (ed.) Proceedings of the Annual Conference of the American Society for Information Science (ASIS 2000), pp. 133–146. American Society for Information Science and Technology, Silver Spring (2000)
InternetTrend, http://trend.logger.co.kr/trendForward.tsp
Fisher, K.E., Lynne, S.E., Mckechnie, E.F.: Theories of Information behavior. Information today (2005)
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
Park, H.K., Cho, I.H., Ji, S.Y., Lee, J.S. (2011). An Empirical Study on Web Search Behavior through the Investigation of a User-Clustered Query Session. In: Beigl, M., Christiansen, H., Roth-Berghofer, T.R., Kofod-Petersen, A., Coventry, K.R., Schmidtke, H.R. (eds) Modeling and Using Context. CONTEXT 2011. Lecture Notes in Computer Science(), vol 6967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24279-3_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-24279-3_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24278-6
Online ISBN: 978-3-642-24279-3
eBook Packages: Computer ScienceComputer Science (R0)