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.