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A probabilistic model based approach for blended search

Published: 20 April 2009 Publication History

Abstract

In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this model are learned from search engine query log through unigram language model. Our experimental exploration shows that, (1) a large number of queries in generic Web search have vertical search intentions; and (2) our proposed algorithm can effectively blend vertical search results into generic Web search, which can improve the Mean Average Precision (MAP) by as much as 16% compared to traditional Web search without blending.

References

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Borthwick, A. "Survey Paper on Statistical Language Modeling", Technical Report, Proteus project, New York University Computer Science Department, 1997
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Gauch, S., Wang, G. and Gomez, M. Profusion: intelligent fusion from multiple, distributed search engines. J. Univers. Comput. Sci. 2(9), (1996), 637--649.
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Järvelin, K. and Kekalainen, J. IR evaluation methods for retrieving highly relevant documents. In Proceedings of the 23rd annual international ACM SIGIR conference (Athens, Greece, July, 2000) SIGIR'00, ACM Press, New York, NY, 41--48.
[4]
Meng, W., Yu, C., and Liu, K. Building efficient and effective metasearch engines. ACM Comput. 34(1) 48--89.

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  • (2025)An overview of aggregation methods for social networks analysisKnowledge and Information Systems10.1007/s10115-024-02296-z67:1(1-28)Online publication date: 1-Jan-2025
  • (2014)Aggregated searchACM Computing Surveys10.1145/252381746:3(1-31)Online publication date: 1-Jan-2014
  • (2011)Interest and Evaluation of Aggregated SearchProceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0110.1109/WI-IAT.2011.99(154-161)Online publication date: 22-Aug-2011
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  1. A probabilistic model based approach for blended search

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    Published In

    cover image ACM Conferences
    WWW '09: Proceedings of the 18th international conference on World wide web
    April 2009
    1280 pages
    ISBN:9781605584874
    DOI:10.1145/1526709

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 April 2009

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    Author Tags

    1. blended search
    2. language model
    3. query log
    4. vertical search

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    View all
    • (2025)An overview of aggregation methods for social networks analysisKnowledge and Information Systems10.1007/s10115-024-02296-z67:1(1-28)Online publication date: 1-Jan-2025
    • (2014)Aggregated searchACM Computing Surveys10.1145/252381746:3(1-31)Online publication date: 1-Jan-2014
    • (2011)Interest and Evaluation of Aggregated SearchProceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0110.1109/WI-IAT.2011.99(154-161)Online publication date: 22-Aug-2011
    • (2011)Aggregated SearchAdvanced Topics in Information Retrieval10.1007/978-3-642-20946-8_5(109-123)Online publication date: 2011

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