Title
Filtering Fitness Trail Content Generated by Mobile Users
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).
Year
DOI
Venue
2009
10.1007/978-3-642-02247-0_50
UMAP
Keywords
Field
DocType
personal opinion,lap duration,context information,filtering fitness trail content,mobile device,ratings user,landscape beauty,similar approach,mobile users,collaborative filtering
World Wide Web,Mobile search,Collaborative filtering,Fitness trail,Computer science,Beauty,Filter (signal processing),Exploit,Mobile device,Multimedia
Conference
Volume
ISSN
Citations 
5535
0302-9743
2
PageRank 
References 
Authors
0.39
7
3
Name
Order
Citations
PageRank
Fabio Buttussi129824.49
Luca Chittaro22083177.40
Daniele Nadalutti312110.44