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Action modeling: language models that predict query behavior

Published: 06 August 2006 Publication History

Abstract

We present a novel language modeling approach to capturing the query reformulation behavior of Web search users. Based on a framework that categorizes eight different types of "user moves" (adding/removing query terms, etc.), we treat search sessions as sequence data and build n-gram language models to capture user behavior. We evaluated our models in a prediction task. The results suggest that useful patterns of activity can be extracted from user histories. Furthermore, by examining prediction performance under different order n-gram models, we gained insight into the amount of history/context that is associated with different types of user actions. Our work serves as the basis for more refined user models.

References

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Shen, X., Tan, B., and Zhai, C. Implicit user modeling for personalized search. In Proceedings of the 14th ACM International Conference on Information and Knowledge Management (CIKM2005) (Bremen, Germany, Oct. 31-Nov. 5, 2005). ACM Press, New York, NY, 2005, 824--831.
[2]
Stolcke, A. SRILM-An extensible language modeling toolkit. In Proceedings of the International Conference on Spoken Language Processing (ICSLP 2002) (Boulder, Colorado, USA, October, 2000). 901--904.
[3]
Taylor, R. Question negotiation and information seeking in libraries College & Research Libraries, 29 (1968), 178--194.
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Teevan, J., Dumais, S. T., and Horvitz, E. Personalizing search via automated analysis of interests and activities. In Proceedings of the 28th annual international ACM SIGIR (Salvador, Brazil, August, 2005). ACM Press, New York, NY, 2005, 449--456.
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Vakkari, P., Pennanen, M., and Serola, S. Changes of search terms and tactics while writing a research proposal. Information Processing & Management, 39 (2003), 445--463.

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cover image ACM Conferences
SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
August 2006
768 pages
ISBN:1595933697
DOI:10.1145/1148170
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: 06 August 2006

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Author Tags

  1. query modeling
  2. query reformulation
  3. user models
  4. web search

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SIGIR06
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SIGIR06: The 29th Annual International SIGIR Conference
August 6 - 11, 2006
Washington, Seattle, USA

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

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