A video service uses viewing history and ratings to suggest what a viewer may watch next.
The ranking should differ by viewer.
Which AI use case best fits this requirement?
A recommendation system ranks candidates for each user based on user and item features.
Detailed explanation
Segmentation labels regions in an image; it does not rank viewing candidates.
DNS maps names to network addresses and is not a recommendation model.
Key rotation is a security operation, not a recommendation task.
A recommendation system ranks items that may be relevant to a particular user.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01ガイドのDomain 1.2で推薦・予測・分類のユースケースを確認する。
Official references
What to confirm
個人化推薦と、画像処理・インフラ運用・ネットワーク機能を区別できる。
Key points
- Personalized ranking
- Behavior history
- Recommendation versus classification
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Personalization
The same catalog can be ordered differently for different users or contexts.
Task boundary
Recommendation proposes or ranks candidates; classification assigns an input to predefined categories.