A system that predicts a rating user might give to an item.
Recommender system can recommend products, content, music, etc.
Two types of ratings
- Explicit - ratings provided by users themselves (like star rating in Amazon). Problems with explicit ratings:
- It requires extra work from a user
- different people have different standards, so the same rating can have different meaning
- Implicit - user actions can be indication of interest in specific product (like purchasing the product or opening page with product details)
Types of recommender systems:
While working on the recommender system it’s important to measure it’s accuracy. Evaluating recommender system