A modular recommender systems framework

• We clean the code and convert names of the item-side parameters.

• The first recommender system package, Legommenders, with a modular-design is released!
• Legommenders involves a set of recommender system algorithms, including:
  • Matching based methods: NAML, NRMS, LSTUR, etc.
  • Ranking based methods: DCN, DeepFM, PNN, etc.