Recommender
Implementation of a Collaborative recommendation system, which means it uses the user's past behaviour to recommend products to buy.
Parts:
- Model: This contains the data about the past purchases (or similar behaviours)
- Storage: The presistent storage where the similarity sets are stored and retrieved, acts as a cache
- Engine: The similarity engine, which calculates the similarity score between two sets