A simple yet effective way of generating recommendations based on tags using cosine similarity and clustering implemented using django, tensorflow and sqlite3.
There are 4 main repositories:
- analytics: Frontend for providing data analytics, based on Django. (To be added later)
- engine-control: A UI for triggering various script operations and also setting up automation, based on Django.
- storefront: An example webstore to showcase the functionality of the recommendation engine, based on Django.
- scripts: Various scripts used for generation of recommendations, analytics etc.
Fork the repository you want to contribute to and create pull requests. Create issue for bugs or feature requests.
Run the setup_project.py script under scripts.