Overview
Recommender systems are machine learning systems that are designed to help find products that a given customer would find interesting or relevant. They are particularly useful when:- They help customers find products they would not have normally found on their own
- They can reduce the menu of produts offered to a customer based on the cognitive bias of decision paralysis.
Architectures
- Predicting how a Customer Would Rate a Product - this involves creating a rating system for the company's products, and then forecasting how the given customer would rate each product.
- Creating an Ordering Among of Set of Products - instead of rating products, this type of system just orders them such that the top product is thought to be the product most preferred by the customer.