ieseg-recsys

Recommendation Systems - IESEG School of Management

Project description


	Recommendation Systems Module Class: 2023 & 2024

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

This version

0.24.1

Apr 2, 2024

0.24.0

Apr 2, 2024

0.23.5

Mar 21, 2023

0.23.4

Mar 21, 2023

0.23.3

Mar 21, 2023

0.23.2

Mar 21, 2023

0.23.1

Mar 13, 2023

0.23

Mar 13, 2023

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