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International Symposium on String Processing and Information Retrieval

SPIRE 2005: String Processing and Information Retrieval pp 41–44Cite as

Recommending Better Queries from Click-Through Data

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3772))

Abstract

We present a method to help a user redefine a query based on past users experience, namely the click-through data as recorded by a search engine. Unlike most previous works, the method we propose attempts to recommend better queries rather than related queries. It is effective at identifying query specialization or sub-topics because it take into account the co-occurrence of documents in individual query sessions. It is also particularly simple to implement.

This research was supported by Millennium Nucleus, Center for Web Research (P04-067-F), Mideplan, Chile.

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References

  1. Baeza-Yates, R., Hurtado, C., Mendoza, M.: Query recommendation using query logs in search engines. In: Lindner, W., Mesiti, M., Türker, C., Tzitzikas, Y., Vakali, A.I. (eds.) EDBT 2004. LNCS, vol. 3268, pp. 588–596. Springer, Heidelberg (2004)

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  2. Billerbeck, B., Scholer, F., Williams, H.E., Zobel, J.: Query expansion using associated queries. In: CIKM 2003, pp. 2–9. ACM Press, New York (2003)

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  3. Scholer, F., Williams, H.E.: Query association for effective retrieval. In: CIKM 2002, pp. 324–331. ACM Press, New York (2002)

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  4. Wen, J., Nie, J., Zhang, H.: Clustering user queries of a search engine. In: 10th WWW Conference (2001)

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  5. Zaiane, O.R., Strilets, A.: Finding similar queries to satisfy searches based on query traces. In: EWIS 2002, Montpellier, France (2002)

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Author information

Authors and Affiliations

  1. Center for Web Research, Department of Computer Science, Universidad de Chile,  

    Georges Dupret

  2. Department of Computer Science, Universidad de Valparaiso,  

    Marcelo Mendoza

Authors
  1. Georges Dupret
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  2. Marcelo Mendoza
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Editor information

Editors and Affiliations

  1. University of Toronto,  

    Mariano Consens

  2. Dept. of Computer Science, University of Chile,  

    Gonzalo Navarro

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© 2005 Springer-Verlag Berlin Heidelberg

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Dupret, G., Mendoza, M. (2005). Recommending Better Queries from Click-Through Data. In: Consens, M., Navarro, G. (eds) String Processing and Information Retrieval. SPIRE 2005. Lecture Notes in Computer Science, vol 3772. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575832_5

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  • DOI: https://doi.org/10.1007/11575832_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29740-6

  • Online ISBN: 978-3-540-32241-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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