Abstract
User wandering behaviours may involve many location visits in different order. The research team has proposed an algorithm which can provide users recommendation for their next visit according to the similarity of their behaviours between each others and the connections amongst locations. In order to test the effectiveness of proposed algorithm the research team develops a mobile app Next Stop Recommender for Android platform. This paper focuses on the app itself and discusses the potential use of the app and the enhancement directions of the proposed algorithm.
Original language | English |
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Pages | 120-124 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2013 |
Event | 2013 International Joint Conference on Awareness Science and Technology, iCAST 2013 and 6th International Conference on Ubi-Media Computing, UMEDIA 2013 - Aizuwakamatsu, Japan Duration: 2 Nov. 2013 → 4 Nov. 2013 |
Conference
Conference | 2013 International Joint Conference on Awareness Science and Technology, iCAST 2013 and 6th International Conference on Ubi-Media Computing, UMEDIA 2013 |
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Country/Territory | Japan |
City | Aizuwakamatsu |
Period | 2/11/13 → 4/11/13 |
Keywords
- Casual wandering
- Data mining
- Mobile apps
- Recommender
- Route pattern