/Group-16

NTDS2019

Primary LanguageJupyter NotebookMIT LicenseMIT

Movie Recommendation System

This code use Kaggle's Movielens 100k Dataset, and tackle the recommendation problem through a graph-based approach. As a result, it is initially exploring both user data and movie data graphs to gain some insights

Movie_Recommendation_System

Contains:

  • Data Acquisition
  • Data Exploration
  • Data Exploitation with recommender based on clustering

Model_based_recommendation

Contains:

  • Collaborative Filtering based recommender(use keras)

Team

Jules Asfresne Jelena Simeunovic André Clerc Aurélien Kinet

License

The content is released under the terms of the MIT License.