Approaches to recommendation systems
1 Content-based systems
Examine properties of the items recommended.
If a user watched many comedy movies, then recommend a
movie classified as comedy.
2 Collaborative filtering
Recommends items based on similarity measures between
users.
Items recommended to a user are those preferred by similar
users.
Does not use item information