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Automatic Query Type Identification Based on Click Through Information

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Information Retrieval Technology (AIRS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4182))

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Abstract

We report on a study that was undertaken to better identify users’ goals behind web search queries by using click through data. Based on user logs which contain over 80 million queries and corresponding click through data, we found that query type identification benefits from click through data analysis; while anchor text information may not be so useful because it is only accessible for a small part (about 16%) of practical user queries. We also proposed two novel features extracted from click through data and a decision tree based classification algorithm for identifying user queries. Our experimental evaluation shows that this algorithm can correctly identify the goals for about 80% web search queries.

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Author information

Authors and Affiliations

  1. State Key Lab of Intelligent Tech. & Sys., Tsinghua University, Beijing, China

    Yiqun Liu, Min Zhang & Shaoping Ma

  2. Sogou Incorporation, Beijing, China

    Liyun Ru

Authors
  1. Yiqun Liu
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  2. Min Zhang
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  3. Liyun Ru
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  4. Shaoping Ma
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Editor information

Editors and Affiliations

  1. Department of Computer Science, National University of Singapore, 3 Science Drive 2, 117543, Singapore

    Hwee Tou Ng

  2. Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613, Singapore

    Mun-Kew Leong

  3. Department of Computer Science, School of Computing, National University of Singapore, 117543, Singapore

    Min-Yen Kan

  4. Institute for Infocomm Research, 21 Heng Mui Keng Terrace, P.O. Box, 119613, Singapore

    Donghong Ji

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© 2006 Springer-Verlag Berlin Heidelberg

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Liu, Y., Zhang, M., Ru, L., Ma, S. (2006). Automatic Query Type Identification Based on Click Through Information. In: Ng, H.T., Leong, MK., Kan, MY., Ji, D. (eds) Information Retrieval Technology. AIRS 2006. Lecture Notes in Computer Science, vol 4182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11880592_51

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  • DOI: https://doi.org/10.1007/11880592_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45780-0

  • Online ISBN: 978-3-540-46237-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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