Talks and Poster Presentations (with Proceedings-Entry):
H. Huang, G. Gartner:
"Learning from location history for context-aware location recommendation in LBS";
Talk: 26th International Cartographic Conference ICC,
- 2013-08-30; in: "Proceedings of the 26th International Cartographic Conference",
Paper ID 587.
Location recommendation is one of the most important components in many Location Based Services (LBS), especially in mobile guides. Currently, providing relevant location (e.g., Point of Interest, POI) recommendation is still very challenging. This paper aims to investigate how location histories can be used for making POI recommendation in LBS. A collaborative filtering-based approach is proposed, which consists of three steps: user profiling from location history, measuring user similarity, and making recommendations. With this, smart services like "after visiting..., other people similar to you often went to ..." can be provided in LBS.
Location Based Services, Location Recommendation, Location History
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.