Location-Aware POI Recommendation for Indoor Space by Exploiting WiFi Logs
Indoor shopping trajectories provide us with a new approach to understanding user’s behaviour pattern in urban shopping mall, which can be derived from user-generated WiFi logs using indoor localization technology. In this paper, we propose a location-aware Point-of-Interest (POI) recommendation ser...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2017-01-01
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| Series: | Mobile Information Systems |
| Online Access: | http://dx.doi.org/10.1155/2017/9601404 |