Type 3

5. Automated extraction of structured information from websites.
8. AI approach based on explicit knowledge, symbols, logic and rules.
9. Measure of association strength after considering the popularity of the consequent.
10. Transformation of fuzzy outputs into a precise numerical value.
12. Set of items appearing together in transactions.
15. Systematic unfairness in AI outputs caused by data, design or assumptions.
16. Extraction of knowledge from data generated by website visits and transactions.
17. Challenge used to distinguish humans from automated bots.
20. Algorithm used to find frequent itemsets and generate association rules.
21. Bot that navigates the Web automatically by following links.
22. Ability to understand and explain why an AI system made a decision.

1. Recommendation method based on similarity between item features.
2. IFTHEN rule used to represent expert knowledge.
3. Recommendation system that combines multiple recommendation approaches.
4. Numerical vector that represents the meaning of text, users, products or items.
6. European regulation that classifies and controls AI systems according to their risk level (Acronym).
7. Repository of facts, rules and expert knowledge used by an expert system.
11. Logic approach that represents vague concepts using degrees instead of only true or false.
13. Metric used to compare similarity between vectors.
14. Method combining document retrieval with a language model (Acronym).
18. File that indicates which parts of a website bots are allowed to access.
19. Hierarchical representation of a web page where HTML elements are organized as nodes.