Presentation Information

2:20 PM - 2:40 PM JST(5:20 AM - 5:40 AM UTC)

[E3-02]Uncovering the Relationship Between Tourist Attraction Features and Visitors Behavior Preferences: A Case Study of Deep Learning and Clustering Analysis with People Flow Data in Hakone

*Jianhao Shi¹, Wanglin Yan¹ (1. Keio Univ.)

Tourism,Spatiotemporal behavior,Deep learning,Clustering,K-means,LSTM

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