Abstract | ||
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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 Buttussi | 1 | 298 | 24.49 |
Luca Chittaro | 2 | 2083 | 177.40 |
Daniele Nadalutti | 3 | 121 | 10.44 |