Recommendation System

Recommendation system are AI-driven tool that analyze user behavior, preferences, and historical data to suggest relevant content, products, or actions. Commonly used in e-commerce, streaming platforms, and digital services, they enhance user experience and drive engagement by personalizing results. These systems leverage techniques such as collaborative filtering (based on user similarities), content-based filtering (based on item attributes), or hybrid approaches. Effective recommendation system help businesses increase conversion rates, customer satisfaction, and retention by delivering timely and context-aware suggestions tailored to individual needs. They are foundational to modern personalization strategies across industries.