GALLOP: GlobAL Feature Fused LOcation Prediction for Different Check-in Scenarios.

IEEE Transactions on Knowledge and Data Engineering(2017)

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摘要
Location prediction is widely used to forecast users' next place to visit based on his/her mobility logs. It is an essential problem in location data processing, invaluable for surveillance, business, and personal applications. It is very challenging due to the sparsity issues of check-in data. An often ignored problem in recent studies is the variety across different check-in scenarios, which is ...
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关键词
Collaboration,Feature extraction,Trajectory,Prediction methods,Context,Business,Data processing
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