# What Is a Recommendation System?  ## Metadata - Author: [[NVIDIA Data Science Glossary]] - Full Title: What Is a Recommendation System? - Category: #articles - Summary: A recommendation system is an AI tool that uses data to help users find products or services they might like among many options. These systems analyze user preferences and behaviors to make personalized suggestions. They are widely used in various industries to enhance customer engagement and improve retention. - URL: https://www.nvidia.com/en-us/glossary/recommendation-system/ ## Highlights - A recommendation system (or recommender system) is a class of machine learning that uses data to help predict, narrow down, and find what people are looking for among an exponentially growing number of options. ([View Highlight](https://read.readwise.io/read/01jcxfrvk5bkp9cqv66bav1mk6)) - Recommender systems are trained to understand the preferences, previous decisions, and characteristics of people and products using data gathered about their interactions. These include impressions, clicks, likes, and purchases. ([View Highlight](https://read.readwise.io/read/01jcxft3xpbaggqdes040ejw7w))