Materiały do przedmiotu Wprowadzenie do systemów rekomendacyjnych, semestr letni 2020/2021.
| .gitignore | ||
| evaluation_measures.py | ||
| helpers.py | ||
| P0. Data preparation.ipynb | ||
| P1. Baseline.ipynb | ||
| P1. Introduction and baseline.pdf | ||
| P2. Evaluation.ipynb | ||
| P2. Evaluation.pdf | ||
| P3. k-nearest neighbours.ipynb | ||
| P3. k-nearest neighbours.pdf | ||
| P4. Appendix - embeddings in high demensional spaces.ipynb | ||
| P4. Matrix Factorization.ipynb | ||
| P4. Matrix Factorization.pdf | ||
| P5. Graph-based models.pdf | ||
| P5. Graph-based.ipynb | ||
| P6. WRMF (Implicit ALS).ipynb | ||
| P6. WRMF (Implicit_ALS).pdf | ||
| P7. LightFM.ipynb | ||
| P7. LightFM.pdf | ||
| README.md | ||
Introduction to recommender systems
Materiały do przedmiotu Wprowadzenie do systemów rekomendacyjnych, semestr letni 2020/2021.