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Lexical analysis for modeling web query reformulation

Published:23 July 2007Publication History

ABSTRACT

Modeling Web query reformulation processes is still an unsolved problem. In this paper we argue that lexical analysis is highly beneficial for this purpose. We propose to use the variation in Query Clarity, as well as the Part-Of-Speech pattern transitions as indicators of user's search actions. Experiments with a log of 2.4 million queries showed our techniques to be more flexible than the current approaches, while also providing us with interesting insights into user's Web behavioral patterns.

References

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  2. Rosie Jones and Daniel C. Fain. Query word deletion prediction. In Proc. of the 26th Intl. ACM SIGIR Conf., 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Tessa Lau and Eric Horvitz. Patterns of search: Analyzing and modeling web query refinement. In Proc. of the 7th Intl. Conf. on User Modeling, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Amanda Spink, Dietmar Wolfram, Major B. J. Jansen, and Tefko Saracevic. Searching the web: the public and their queries. J. Amer. Soc. Inf. Sci. Technol., 52(3):226--234, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Lexical analysis for modeling web query reformulation

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      • Published in

        cover image ACM Conferences
        SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
        July 2007
        946 pages
        ISBN:9781595935977
        DOI:10.1145/1277741

        Copyright © 2007 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 23 July 2007

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        Overall Acceptance Rate792of3,983submissions,20%

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