It is a mean of recommendation based on users’ past behavior. There are two categories of CF:
User-based: measure the similarity between target users and other users
Item-based: measure the similarity between the items that target users rates/ interacts with and other items
The key idea behind CF is that similar users share the same interest and that similar items are liked by a user.
