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Identifying Foreign Tourists' Nationality from Mobility Traces via LSTM Neural Network and Location Embeddings
2019
Applied Sciences
The interest in human mobility analysis has increased with the rapid growth of positioning technology and motion tracking, leading to a variety of studies based on trajectory recordings. Mapping the routes that people commonly perform was revealed to be very useful for location-based service applications, where individual mobility behaviors can potentially disclose meaningful information about each customer and be fruitfully used for personalized recommendation systems. This paper tackles a
doi:10.3390/app9142861
fatcat:5bjyxmetxfe5hpb64whzvecdzu