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Structure of Query Modification Process: Branchings

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Advanced Data Mining and Applications (ADMA 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5139))

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Abstract

A common approach to query log analysis considers any query only as a possible modification of a direct predecessor. The paper considers a branching search. It is shown that up to 20% of sessions containing 3 and more different queries contain combinations which may be interpreted as branchings; a number of branches is a little bigger than two; one of the branches consists of only one query; branching may be realized as both narrowing and broadening.

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References

  1. Bates, M.: Information search tactics. J. of American Soc. for Inf. Sci. 30(4), 205–214 (1979)

    Article  Google Scholar 

  2. Bates, M.: Idea tactics. J. of American Soc. for Inf. Sci. 30(5), 280–289 (1979)

    Article  Google Scholar 

  3. Buzikashvili, N.: The Yandex Study. In: Workshop on Evaluating User Studies in Inf. Access, pp. 48–55. British Computer Society (2005)

    Google Scholar 

  4. Buzikashvili, N.: Automatic task detection in Web logs and analysis of multitasking. In: Sugimoto, S., Hunter, J., Rauber, A., Morishima, A. (eds.) ICADL 2006. LNCS, vol. 4312, pp. 131–140. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  5. Fidel, R.: Moves in online searching. Online Review 9(1), 61–74 (1985)

    Article  Google Scholar 

  6. Foster, A.E.: A non-linear model of information seeking behaviour. J. of American Soc. for Inf. Sci. and Tech. 55(3), 228–237 (2004)

    Article  MathSciNet  Google Scholar 

  7. Rieh, S.Y., Xie, H.: Analysis of multiple query reformulations on the web: The interactive information retrieval context. Inf. Processing & Management 42, 751–768 (2006)

    Article  Google Scholar 

  8. Vakkari, P.: eCognition and changes of search terms and tactics during task performance. In: Recherche d’Information Assistée par Ordinateur (RIAO 2000), C.I.D., pp. 894–907 (2000)

    Google Scholar 

  9. Wildemuth, B., Jacob, E., Fullington, A., de Blieck, R., Friedman, C.: A detailed analysis of end-user search behaviors. In: 54th American Soc. for Inf. Sci. Meeting, pp. 302–312. ACM, New York (1991)

    Google Scholar 

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Buzikashvili, N. (2008). Structure of Query Modification Process: Branchings. In: Tang, C., Ling, C.X., Zhou, X., Cercone, N.J., Li, X. (eds) Advanced Data Mining and Applications. ADMA 2008. Lecture Notes in Computer Science(), vol 5139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88192-6_76

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  • DOI: https://doi.org/10.1007/978-3-540-88192-6_76

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88191-9

  • Online ISBN: 978-3-540-88192-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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