How Amazon Knows What You Want: The Role of KNN in Product Recommendations

Amazon's recommendation engine significantly relies on the K-Nearest Neighbors (KNN) algorithm, a supervised learning method used for classification and regression. By evaluating user's behavior, product attributes, and historical transactions, KNN helps identify similar users and products, providing context-aware suggestions. Despite its computational intensity, KNN is favored for its simplicity, flexibility, and ability to adapt to real-time data, supporting Amazon's diverse and dynamic datasets.