Recommender System

A recommender system is an AI technology that automatically suggests the most relevant products, services, or content to individual users based on their behavioral history and preference data. Also known as a recommendation engine, it has become an indispensable component of e-commerce sites, video streaming services, news apps, and virtually every other digital service. The main approaches used in recommender systems include: • Collaborative filtering (leveraging similarities between users) • Content-based filtering (matching product attributes to user preferences) • Hybrid approaches (combining the above methods) • Behavioral prediction models using deep learning Major applications: • "Recommended for you" sections on Amazon and Rakuten • Video recommendations on YouTube and Netflix • Playlist suggestions on Spotify • Personalized article feeds in news apps • Job matching on employment sites Recommender systems are critically important for businesses, as they simultaneously improve user experience and directly drive better click-through rates, conversion rates, and customer retention.