yhteistyösuodattimet
Yhteistyösuodattimet, or collaborative filtering in English, is a recommendation system technique used to make predictions about the interests of a user by collecting preferences from many users. The underlying assumption is that if person A has the same opinion as a person B on an issue, A is more likely to have B's opinion on a different issue than that of a randomly chosen person.
There are two main types of collaborative filtering. User-based collaborative filtering finds users with similar preferences
Collaborative filtering has been widely adopted by e-commerce platforms, streaming services, and social media to provide
Despite its effectiveness, collaborative filtering faces challenges. The "cold-start problem" occurs when new users or items