What are Recommender Systems?
Recommender systems are a type of information filtering technology that provide personalized recommendations to users based on their preferences, interests, and past behaviors. These systems are widely used in various domains such as e-commerce, streaming services, social media, and online content platforms to help users discover relevant items and improve their overall user experienceThe primary goal of a recommender system is to predict and suggest items that a user may find interesting or useful. These items can include products, movies, music, articles, or any other type of content. Recommender systems rely on data, typically gathered from user interactions, ratings, purchase history, or explicit feedback, to generate accurate and personalized recommendations.Related terms
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