Data Science Session: Recommender Systems

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

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Speaker: Raid Arfua