Reco Algo

Try to implement some Recommendation Algorithm with PyTorch to learn both.

Prerequisite

Poetry 1.8.3
Miniconda or alternatives that can create new Python environment with a specified Python version

Set up

Create a new .env file based on .env.example and populate the variables there
Create a new Python 3.11.9 environment: conda create --prefix .venv python=3.11.9
Make sure Poetry use the new Python 3.11.9 environment: poetry env use .venv/bin/python
Install Python dependencies with Poetry: poetry install

Run

Compare different reco algos

Start MLflow locally: make mlflow-up
Start the Jupyterlab notebook: make notebook-up
Run the data prep notebooks in this order: 000, 001, 002.
Then you can run the notebooks from 010 to see how the algorithms fit with the prep data.
Experiment evaluation should be available via MLflow web UI at localhost:5003 if you have run make mlflow-up.

Try Item2Vec modeling to learn item embeddings

Run notebooks 020 to 025