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Intent boundary detection in search query logs

Published: 19 July 2010 Publication History

Abstract

Identifying intent boundary in search query logs is important for learning users' behaviors and applying their experiences. Time-based, query-based, and cluster-based approaches are proposed. Experiments show that the integration of intent clusters and dynamic time model performs the best.

References

[1]
Jones, R. and Klinkner, K.L. Beyond the Session Timeout: Automatic Hierarchical Segmentation of Search Topics in Query Logs, In Proceeding of the 17th ACM CIKM, 2008, 699--708.
[2]
Craswell, N., Jones, R., Dupret, G. and Viegas, E. Workshop on Web Search Click Data, held in conjunction with WSDM 2009.

Cited By

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  • (2013)Intent mining in search query logs for automatic search script generationKnowledge and Information Systems10.1007/s10115-013-0620-339:3(513-542)Online publication date: 13-Mar-2013
  • (2013)Intent-Based browse activity segmentationProceedings of the 35th European conference on Advances in Information Retrieval10.1007/978-3-642-36973-5_21(242-253)Online publication date: 24-Mar-2013
  • (2011)Search scripts mining from wisdom of the crowds2011 IEEE International Conference on Systems, Man, and Cybernetics10.1109/ICSMC.2011.6083762(878-883)Online publication date: Oct-2011

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  1. Intent boundary detection in search query logs

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    cover image ACM Conferences
    SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
    July 2010
    944 pages
    ISBN:9781450301534
    DOI:10.1145/1835449
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 19 July 2010

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    Author Tags

    1. intent boundary detection
    2. intent clustering
    3. query log analysis

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    SIGIR '10 Paper Acceptance Rate 87 of 520 submissions, 17%;
    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    Cited By

    View all
    • (2013)Intent mining in search query logs for automatic search script generationKnowledge and Information Systems10.1007/s10115-013-0620-339:3(513-542)Online publication date: 13-Mar-2013
    • (2013)Intent-Based browse activity segmentationProceedings of the 35th European conference on Advances in Information Retrieval10.1007/978-3-642-36973-5_21(242-253)Online publication date: 24-Mar-2013
    • (2011)Search scripts mining from wisdom of the crowds2011 IEEE International Conference on Systems, Man, and Cybernetics10.1109/ICSMC.2011.6083762(878-883)Online publication date: Oct-2011

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