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TravelRecommendation

This is code for research in 'Personalized and Timed Travel Path Recommendation Based on GPS Data Using Deep Learning'.

RNN

  • Requirements: Installation of Python, Tensorflow, Keras, Numpy, Matplotlib
  • For 'RNN' folder, you can either run 'RNN_test.py' file on Python IDE or run 'RNN_test.ipynb' on Jupyter Notebook.
  • Using Jupyter Notebook is recommended, for it is convenient to see the result of the code.

Clustering

  • Requirements: Installation of Python, Tensorflow, Keras, Numpy, Matplotlib, Scikit-learn, Pandas
  • For 'Clustering' folder, you can run 'Clustering_test.py' file on Python IDE or run 'Clustering_test.ipynb' on Jupyter Notebook.
  • Using Jupyter Notebook is recommended, for it is convenient to see the result of the code.

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  • Jupyter Notebook 98.9%
  • Python 1.1%