In this directory, notebooks are provided to give a deep dive of hybrid recommendation algorithms. The notebooks make use of the utility functions (recommenders) available in the repo.
| Notebook | Environment | Description |
|---|---|---|
| fm_deep_dive | Python CPU | Deep dive into factorization machine (FM) and field-aware FM (FFM) algorithm. |
| lightfm_deep_dive | Python CPU | Deep dive into hybrid matrix factorisation model with LightFM. |
Details on model training are best found inside each notebook.