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Will hold data about which products are jointly purchased.

UserRatedProduct table will hold data about which user rated which product and how high the rate was.

It's an upgrade of Complimentary items algorithm, addresses the main issue which is missing or lack of joint product purchase history data.
It tries to predict joint purchase based on already existing data from the same category.
Example: new remote control is added to DB, there is no purchase history, find similar remote controls and which batteries are jointly bought with those remote controls

Finds K-nearest users and recommends products already bought or highly rated by that user.

Based on previous joint product purchases and product tags offers K-items that belong together.
Example: remote control and batteries

Compares products based on tags and categories, offers K-products that belong together example: remote and batteries.

ProductWithTags will hold data about which tags belong to which product.