Arfua / rec-sys

Data Science Session: Recommender Systems

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Data Science Session: Recommender Systems

tabnet-architecture

This session shows how to:

  • Build deep learning based recommender models with Collie framework
  • Train different models on implicit feedback:
    • Matrix Factorization
    • Neural Collaborative Filtering
    • Hybrid Multi Stage
  • Train Matrix Factorization on explicit feedback
  • Make similar item prediction (for new items)

Pre-requirements

  • python 3.8
  • pip

Requirements

pip install -r requirements.txt

Speaker: Raid Arfua

About

Data Science Session: Recommender Systems


Languages

Language:Jupyter Notebook 95.2%Language:Python 4.8%