Collaborative Filtering

Fact

A recommendation method based on similar users or similar items.

In Plain Words

Collaborative filtering is like a school cafeteria buddy. You both love curly fries, so their favorite cookie lands on your tray next.

It recommends things from similar people or similar items. You meet it in shopping apps, video feeds, and music apps. New users make it guess badly.

Related Concepts

• Recommender System
• Matrix Factorization
• k-Nearest Neighbors

Recommender System
Collaborative filtering is one classic method inside a recommender system.

Matrix Factorization
Matrix Factorization can model hidden taste patterns for collaborative filtering.

KNN
KNN can find similar users or similar items.