Generic Universal Recommender System
- anime: has the scraper for anime
- movie: has the scraper for movie
- boardgame: has the scraper for boardgame
- videogame: has the scraper for videogame
- demo: has all the information related to demo
- Inside it you will find multiple folders related to the Docker image persisted volumes
All the requirements to reproduce this project can either be found inside requirements.txt or the Docker images get them automatically when built.
You just need to run the scrapers and compile the information inside demo.
Build the Docker image for spark (e.g. docker build --network host -t spark_custom:0.1 ./demo/docker/spark_custom/)
Boot up the images with docker compose up inside demo folder.
Then either follow the demo/v_spark/spark.ipynb notebook for an interactive and exploratory environment or check the equivalent production script python demo/v_spark/spark.py.
For the interface, something as simple as streamlit run ./demo/interface.py should suffice.