Identifying Foreign Tourists’ Nationality from Mobility Traces via LSTM Neural Network and Location Embeddings

Identifying Foreign Tourists’ Nationality from Mobility Traces via LSTM Neural Network and Location Embeddings

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 applica...

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Bibliographic Details
Main Authors: Alessandro Crivellari, Euro Beinat
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Applied Sciences
Subjects:
neural networks
LSTM
embeddings
trajectories
motion behavior
smart tourism
Online Access:https://www.mdpi.com/2076-3417/9/14/2861

Internet

https://www.mdpi.com/2076-3417/9/14/2861

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