Which feature enables an AI-based music recommendation system to improve its suggestions according to a user's preferences?
Answer and explanation
Correct answer: It learns from the user's listening patterns.
The system can study signals such as songs played, skipped, replayed, or liked and detect patterns in a user’s interests. It then uses those patterns to personalise later recommendations. A fixed list, alphabetical selection, or random choice does not adapt to individual behaviour, so none of those alternatives explains improvement based on preferences.
Frequently asked questions
What is the correct answer to this question?
It learns from the user's listening patterns.
Why is this the correct answer?
The system can study signals such as songs played, skipped, replayed, or liked and detect patterns in a user’s interests. It then uses those patterns to personalise later recommendations. A fixed list, alphabetical selection, or random choice does not adapt to individual behaviour, so none of those alternatives explains improvement based on preferences.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Reflection, Project Cycle, and Ethics. Topic: AI Domains.
