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Analysis of an expert search query log

Published: 24 July 2011 Publication History

Abstract

Expert search has made rapid progress in modeling, algorithms and evaluations in the recent years. However, there is very few work on analyzing how users interact with expert search systems. In this paper, we conduct analysis of an expert search query log. The aim is to understand the special characteristics of expert search usage. To the best of our knowledge, this is one of the earliest work on expert search query log analysis. We find that expert search users generally issue shorter queries, more common queries, and use more advanced search features, with fewer queries in a session, than general Web search users do. This study explores a new research direction in expert search by analyzing and exploiting query logs.

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Y. Fang, L. Si, and A. Mathur. Discriminative probabilistic models for expert search in heterogeneous information sources. Information Retrieval, 14(2):158--177, 2010.
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C. Macdonald and R. White. Usefulness of click-through data in expert search. In SIGIR, pages 816--817, 2009.
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C. Silverstein, H. Marais, M. Henzinger, and M. Moricz. Analysis of a very large web search engine query log. In SIGIR Forum, pages 6--12, 1999.
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A. Spink, D. Wolfram, M. Jansen, and T. Saracevic. Searching the web: The public and their queries. JASIST, 52(3):226--234, 2001.
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S. Torres, D. Hiemstra, and P. Serdyukov. An analysis of queries intended to search information for children. In Third Symposium on Information Interaction in Context, pages 235--244. ACM, 2010.

Cited By

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  • (2023)Content Quality of YouTube Videos About Pain Management After Cesarean Birth: Content AnalysisJMIR Infodemiology10.2196/408023(e40802)Online publication date: 23-Jun-2023
  • (2023)The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591890(2848-2860)Online publication date: 19-Jul-2023
  • (2021)Ambiguity and ClarificationResult Page Generation for Web Searching10.4018/978-1-7998-0961-6.ch004(28-42)Online publication date: 2021
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    cover image ACM Conferences
    SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
    July 2011
    1374 pages
    ISBN:9781450307574
    DOI:10.1145/2009916

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 July 2011

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    Author Tags

    1. expert search
    2. query log analysis

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

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    View all
    • (2023)Content Quality of YouTube Videos About Pain Management After Cesarean Birth: Content AnalysisJMIR Infodemiology10.2196/408023(e40802)Online publication date: 23-Jun-2023
    • (2023)The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web ArchivesProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591890(2848-2860)Online publication date: 19-Jul-2023
    • (2021)Ambiguity and ClarificationResult Page Generation for Web Searching10.4018/978-1-7998-0961-6.ch004(28-42)Online publication date: 2021
    • (2018)Cross-lingual analysis of English and Chinese web searchInternational Journal of Web and Grid Services10.5555/3292946.329294914:4(376-399)Online publication date: 21-Dec-2018

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