[Public] Book recommendation system on Tecton

Data source

• Inspired by https://www.kaggle.com/datasets/ruchi798/bookcrossing-dataset
  • note: rating is from 0 to 10
• Add plausible timestamps to all three tables
  • book timestamps: e.g. base on yearOfPublication + x months
  • ratings: 2020 - 2023
  • user signups: 2020 - 2023 (min of random date + min rating for a user)
• See data_cleaning.ipynb for cleaning steps

Cleaned data source

See files at s3://tecton-demo-data/apply-book-recsys/

Files are tracked with DVC too:

• If you have DVC, you can run dvc pull to get the data files

(optional) DVC

• dvc init
• dvc add books_data/
• dvc remote add -d storage s3://tecton-demo-data/apply-book-recsys/
• dvc push