What is a content-based recommender system?

A content-based recommender system is a type of recommendation engine that suggests items to users based on their interests and preferences. The system analyzes the attributes of items, such as the genre, author, or language for books, or the model, brand, or price range for products, and compares them with the user's previous interactions and preferences. The more data the system collects and analyzes, the more accurate its predictions become. One key benefit of content-based recommenders is their ability to suggest items that are highly relevant and personalized to each user, leading to increased engagement and satisfaction.

This mind map was published on 17 May 2023 and has been viewed 106 times.