Implicit feedback is a type of user feedback that is gathered indirectly through user interactions and behaviors, rather than through explicit ratings or reviews. It is commonly used in recommendation systems to infer user preferences and improve personalized experiences by analyzing actions such as clicks, views, and time spent on content.