How does Content-Based Filtering (CBF) characterize its data focus in recipe systems?
Answer
Recipe attributes like ingredients, cuisine type, and preparation time
Content-Based Filtering operates by concentrating solely on the characteristics, or attributes, of the items themselves, rather than how users interact with them. In the context of recipe recommendation, this means analyzing structured metadata such as the specific ingredients used, the culinary category (cuisine type), required preparation time, and nutritional profiles. The goal is to match these intrinsic recipe attributes against the established stated preferences or historical consumption profile of the individual user, allowing it to function well even when new items or users are introduced.
Related Questions
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