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Letterboxd Recommender

The Letterboxd Recommender is a project aimed at providing personalized movie recommendations based on user preferences and ratings. It utilizes the Letterboxd API to fetch movie data and user ratings.

I will use this data to compare and implement different recommendation algorithms:

  • Random Walks
  • Transformer based

Backlog

  • Re-scrape user if last data too old. Can also always check that we have the user's latest movies and just scrap the latest
  • Constants for data paths and such
  • Testing the graph model embedding quality

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Using letterboxd data to build movie recommenders

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