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
A recommendation system ranks items that may be relevant to a particular user.
A recommendation system ranks items that may be relevant to a particular user.
Segmentation labels regions in an image; it does not rank viewing candidates.
Segmentation labels regions in an image; it does not rank viewing candidates.
Key rotation is a security operation, not a recommendation task.
Key rotation is a security operation, not a recommendation task.
DNS maps names to network addresses and is not a recommendation model.
DNS maps names to network addresses and is not a recommendation model.
Try it yourself
An example you can run in a temporary verification environment.
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。Expected result
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
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.