Article

Lexical analysis for modeling web query reformulation

Authors:

Alessandro Bozzon,

Paul - Alexandru Chirita,

Claudiu S. Firan,

Wolfgang NejdlAuthors Info & Claims

SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 739 - 740

https://doi.org/10.1145/1277741.1277885

Published: 23 July 2007 Publication History

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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.

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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.

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Selvaretnam BBelkhatir M(2012)Natural language technology and query expansionJournal of Intelligent Information Systems10.1007/s10844-011-0174-338:3(709-740)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1007/s10844-011-0174-3
Hollink VHe Jde Vries A(2012)Explaining query modificationsProceedings of the 34th European conference on Advances in Information Retrieval10.1007/978-3-642-28997-2_1(1-12)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-28997-2_1
Hollink VTsikrika Tde Vries A(2011)Semantic search log analysis: A method and a study on professional image searchJournal of the American Society for Information Science and Technology10.1002/asi.2148462:4(691-713)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.1002/asi.21484
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Index Terms

Lexical analysis for modeling web query reformulation
1. Information systems
  1. Information retrieval
    1. Document representation
    2. Information retrieval query processing

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Query reformulation modifies the original query with the aim of better matching the vocabulary of the relevant documents, and consequently improving ranking effectiveness. Previous techniques typically generate words and phrases related to the original ...

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Published In

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

General Chairs:
Wessel Kraaij
TNO, The Netherlands
,
Arjen P. de Vries
CWI, The Netherlands
,
Program Chairs:
Charles L. A. Clarke
University of Waterloo, Canada
,
Norbert Fuhr
University of Duisburg-Essen, Germany
,
Noriko Kando
National Institute of Informatics, Japan

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

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Published: 23 July 2007

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SIGIR07: The 30th Annual International SIGIR Conference

July 23 - 27, 2007

Amsterdam, The Netherlands

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Selvaretnam BBelkhatir M(2012)Natural language technology and query expansionJournal of Intelligent Information Systems10.1007/s10844-011-0174-338:3(709-740)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1007/s10844-011-0174-3
Hollink VHe Jde Vries A(2012)Explaining query modificationsProceedings of the 34th European conference on Advances in Information Retrieval10.1007/978-3-642-28997-2_1(1-12)Online publication date: 1-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-28997-2_1
Hollink VTsikrika Tde Vries A(2011)Semantic search log analysis: A method and a study on professional image searchJournal of the American Society for Information Science and Technology10.1002/asi.2148462:4(691-713)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.1002/asi.21484
Demartini GVarde APei J(2007)Leveraging semantic technologies for enterprise searchProceedings of the ACM first Ph.D. workshop in CIKM10.1145/1316874.1316879(25-32)Online publication date: 9-Nov-2007
https://dl.acm.org/doi/10.1145/1316874.1316879

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Modeling reformulation as query distributions

Modeling reformulation using query distributions

Modeling reformulation using passage analysis

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