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Recommendation System Notes

This is a collection of my notes for RS. Includes paper implementations, benchmarks, and more.

Papers

Collection of papers

  • Sichun Luo et. al., Aug 2022, HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations - https://arxiv.org/pdf/2208.09586

Datasets

  • Yelp (2018) Dataset - Task is to recmmend business webpages to users.
  • Amazon Kindle - Task is to recommend e-books to users.
  • MovieLens 100K - Canonical movie recommendation dataset widely used for evaluating recommendation algoruthms
  • Kaggle-Movie -

Preprocessing Tips

Different implementations (paper experiments) may have slightly different preprocessing steps (and perhaps slightly different results), thus it is important to note common preprocessing techniques.

Experiments

Here I practice different implementations of popular RS algorithms and techniques.

knn-algo/        # Here is 

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