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Mobile Opportunistic Planning: Methods and Models

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User Modeling 2007 (UM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4511))

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Abstract

We present a study exploring the promise of developing computational systems to support the discovery and execution of opportunistic activities in mobile settings. We introduce the challenge of mobile opportunistic planning, describe a prototype named Mobile Commodities, and focus on the construction and use of probabilistic user models to infer the cost of time required to execute opportunistic plans.

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References

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Author information

Authors and Affiliations

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

    Eric Horvitz, Paul Koch & Muru Subramani

Authors
  1. Eric Horvitz
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  2. Paul Koch
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  3. Muru Subramani
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Editor information

Cristina Conati Kathleen McCoy Georgios Paliouras

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© 2007 Springer-Verlag Berlin Heidelberg

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Horvitz, E., Koch, P., Subramani, M. (2007). Mobile Opportunistic Planning: Methods and Models. In: Conati, C., McCoy, K., Paliouras, G. (eds) User Modeling 2007. UM 2007. Lecture Notes in Computer Science(), vol 4511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73078-1_26

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  • DOI: https://doi.org/10.1007/978-3-540-73078-1_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73077-4

  • Online ISBN: 978-3-540-73078-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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