Filtering Fitness Trail Content Generated by Mobile Users

  • Fabio Buttussi
  • Luca Chittaro
  • Daniele Nadalutti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5535)


This paper proposes a novel trail sharing system for mobile devices that deals with context information collected by sensors, as well as users’ personal opinions (e.g., landscape beauty) specified by ratings. To help the user in finding trails that are more suited to her, the system exploits a collaborative filtering approach to predict the ratings users may give to untried trails, and applies a similar approach also to context information that can significantly vary among users (e.g., lap duration).


Mobile Device Context Information Mobile User Objective Feature Subjective Feature 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Fabio Buttussi
    • 1
  • Luca Chittaro
    • 1
  • Daniele Nadalutti
    • 1
  1. 1.HCI Lab, Dept. of Math and Computer ScienceUniversity of UdineUdineItaly

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