Translation: Content‑based filtering is a recommendation technique that suggests items based on their features. It works by analysing characteristics such as genre, keywords, style, or description, and recommends items that have similar features to those a user has previously selected. For example, if someone has bought graphic novels with bright colours and superhero themes, a content‑based system may recommend other books with similar visual styles or themes.