ieseg-recsys 0.23.5

Recommendation Systems - IESEG School of Management

	Recommendation Systems Module Class: 2022 & 2023

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Overview

• Model evaluation (eval.py):
  • Regression metrics
    • RMSE
    • MAE
  • Classification metrics
    • Precision
    • Recall
    • F1
  • Ranking metrics
    • NDCG
  • eval.evaluate computes all above mentioned metrics
  • Evaluate Top-N recommendations
    • HR
    • MAP
• Content based Recommender System (model.py)
• Helper functions (utils.py)
  • get_top_n: Compute Top-N recommendations from predictions
  • predict_user_topn: Compute Top-N recommendations for a user

Useful Links