Filtering Fitness Trail Content Generated by Mobile Users

Authors:
Fabio Buttussi;Luca Chittaro;Daniele Nadalutti
Affiliations:
HCI Lab, Dept. of Math and Computer Science, University of Udine, Udine, Italy 33100;HCI Lab, Dept. of Math and Computer Science, University of Udine, Udine, Italy 33100;HCI Lab, Dept. of Math and Computer Science, University of Udine, Udine, Italy 33100
Venue:
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Year:
2009

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Abstract

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).