User-Based Collaborative Filtering: How Recommendation Systems Find Similar Users
User-Based Collaborative Filtering: How Recommendation Systems Find Similar Users User-Based Collaborative Filtering: How Recommendation Systems Find Similar Users If someone with the same taste as you loved a movie you haven't watched yet, chances are you might love it too. This idea forms the foundation of User-Based Collaborative Filtering . Introduction Recommendation systems are used by platforms such as Netflix, Amazon, and Spotify to personalize user experiences. These systems analyze user behavior and suggest items that a user is likely to enjoy. One of the earliest and most intuitive techniques used in recommendation systems is User-Based Collaborative Filtering . Instead of analyzing product features, this approach analyzes similarities between users. The Core Idea User-based collaborative filtering assumes that users who had similar preferences in the past will continue to have similar preferences in the future. The reco...