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Modeling Long-Term Search Engine Usage

  • Conference paper
User Modeling, Adaptation, and Personalization (UMAP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6075))

Abstract

Search engines are key components in the online world and the choice of search engine is an important determinant of the user experience. In this work we seek to model user behaviors and determine key variables that affect search engine usage. In particular, we study the engine usage behavior of more than ten thousand users over a period of six months and use machine learning techniques to identify key trends in the usage of search engines and their relationship with user satisfaction. We also explore methods to determine indicators that are predictive of user trends and show that accurate predictive user models of search engine usage can be developed. Our findings have implications for users as well as search engine designers and marketers seeking to better understand and retain their users.

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Author information

Authors and Affiliations

  1. Microsoft Research, One Microsoft Way, Redmond, WA, 98052, USA

    Ryen W. White, Ashish Kapoor & Susan T. Dumais

Authors
  1. Ryen W. White
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  2. Ashish Kapoor
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  3. Susan T. Dumais
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Editor information

Editors and Affiliations

  1. Computer Science Department, Eindhoven University of Technology, 5600, Eindhoven, MB, The Netherlands

    Paul De Bra

  2. School of Information and Computer Sciences, University of California, 92697-3440, Irvine, CA, USA

    Alfred Kobsa

  3. Department of Information and Computer Sciences, University of Hawaii, 96822, Honolulu, HI, USA

    David Chin

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© 2010 Springer-Verlag Berlin Heidelberg

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White, R.W., Kapoor, A., Dumais, S.T. (2010). Modeling Long-Term Search Engine Usage. In: De Bra, P., Kobsa, A., Chin, D. (eds) User Modeling, Adaptation, and Personalization. UMAP 2010. Lecture Notes in Computer Science, vol 6075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13470-8_5

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  • DOI: https://doi.org/10.1007/978-3-642-13470-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13469-2

  • Online ISBN: 978-3-642-13470-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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