Filtering Fitness Trail Content Generated by Mobile Users
Authors: Buttussi F., Chittaro L., Nadalutti D.
Published in: Proceedings of the International Conference on User Modeling, Adaptation, and Personalization (UMAP 2009), Springer-Verlag, Berlin, June 2009, pp. 441-446.
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) specied by ratings. To help the user in nding trails that are more suited to her, the system exploits a collaborative ltering approach to predict the ratings users may give to untried trails, and applies a similar approach also to context information that can signicantly vary among users (e.g., lap duration).
Copyright: © Springer-Verlag Berlin Heidelberg 2009. This is a preprint version of the article.