Mobile Opportunistic Planning: Methods and Models

  • Eric Horvitz
  • Paul Koch
  • Muru Subramani
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4511)


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.


Bayesian Network Target Time Marginal Model Case Library Efficient Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Bohnenberger, T., Jameson, A., Kruger, A., Butz, A.: Location-aware shopping assistance: Evaluation of a decision-theoretic approach. In: Mobile HCI 2002, pp. 155–169 (2002)Google Scholar
  2. 2.
    Chickering, D.M., Heckerman, D., Meek, C.A.: Bayesian approach to learning Bayesian networks with local structure. In: UAI 1997, pp. 80–89 (1997)Google Scholar
  3. 3.
    Friedman, N., Goldszmidt, M.: Learning Bayesian networks with local structure. In: UAI 1996, pp. 252–262 (1996)Google Scholar
  4. 4.
    Horvitz, E., Koch, P., Kadie, K., Jacobs, A.: Coordinate: Probabilistic forecasting of presence and availability. In: UAI 2002, pp. 224–233 (2002)Google Scholar
  5. 5.
    Krumm, J., Horvitz, E.: Predestination: Inferring destinations from partial trajectories. In: Ubicomp 2006, pp. 243–260 (2006)Google Scholar
  6. 6.
    Patterson, D.J., Liao, L., Gajos, K., Collier, M., Livic, N., Olson, K., Wang, S., Fox, D., Kautz, H.: Opportunity knocks: A system to provide cognitive assistance with transportation services. In: Ubicomp 2004, pp. 433–450 (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Eric Horvitz
    • 1
  • Paul Koch
    • 1
  • Muru Subramani
    • 1
  1. 1.Microsoft Research, One Microsoft Way, Redmond, Washington, 98052USA

Personalised recommendations