Overview
A rating system is a type of recommender system that tries to forecast the rating that a given customer would give to a given product.
Methods
The following represent a set of methods used to construct a recommender rating system.
- Feature Based Forecasting - utilizes product features to try to forecast a customer rating.
- Based on the Ratings of Similar Users - this method tries to find users that are similar to the target customer, and then computes a rating for the product based on the ratings of those similar customers for the same product. Typically this is done by taking an average of the similar customer's ratings for that product.
- Based on the User's Ratings of Similar Products - this method uses a similarity function to determine how related two products are, and then examines the set of products similar to the target product for which the customer has given a rating.