What is collaborative filtering?

Collaborative filtering is a technique used in recommendation systems to filter and personalize content based on user preferences and similarities. It works by collecting and analyzing data from numerous users to understand their interests, behaviors, and patterns. The system then uses this information to make suggestions and recommendations to individual users, taking into account the preferences of other users with similar profiles. Collaborative filtering can be applied in various domains, including e-commerce, social media, and content streaming platforms, to enhance user experience and provide targeted recommendations.

This mind map was published on 3 February 2024 and has been viewed 82 times.