Concepts

This section explains the terminology used throughout the questionnaire and website. It is intended for readers who have some familiarity with machine learning and data analysis, but who may not be experts in every method family or data setting.

The pages in this section clarify the main dimensions used in the questionnaire:

• Data modality
• Task type
• Data volume
• Constraints
• Quality / labels
• Dynamics
• Recommendation types

You can use these pages whenever a term in the questionnaire is unclear or when you want a short explanation of how each category is interpreted in the framework.