Quiz sistem yiy xelal IA

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Lan mooy 'seggal lëkkaloo' ngir mëna joxe xalaat?
   • Modèle ci jëfandikukat yu bari yu am bëgg-bëgg yu noonu mel
   • Tegtal bu nekk ci mbind mi kese
   • Njëg li ci produit bi
   • Limu 10 gëna mag yiñ tëral
2. Seggal ëmbiit li dafay gëna digal mbir yi ci:
   • échantillonnage aléatoire du catalogue
   • Màndarga yiñ méngale ak say tànneef yu njëkk
   • Lim njaayum àdduna bi yépp
   • Laaj yeneen jëfandikukat ñu wote
3. What did the Netflix Prize seek to improve by 10% over the Cinematch baseline?
   • Click-through rate for every recommended film
   • The number of films watched per user
   • Root mean squared error (RMSE) on the competition’s held-out ratings
   • A user’s average watch time on the service
4. Ci factorisasioŋ matrix, jëfandikukat yi ak mbir yi dañu leen di wane nii:
   • Benn waaw/déedet
   • jàngat ci bind bu leer
   • Bisu almanak
   • Vecteur yu 'facteur yu nëbbu' yu nëbbu
5. What mechanism did the Deep Interest Network paper propose for modeling a user’s different interests across candidate ads?
   • A local activation unit that forms a candidate-specific interest representation
   • A fixed user vector that is identical for every candidate
   • A rule that selects only the most popular ad
   • A graph algorithm that proves every ad is relevant
6. Recommandé 'hybrid' mooy:
   • Ci njeexte ayu-bis yi kese lay liggéey
   • Dafay boole pexe lëkkaloo ak ëmbiit li
   • Jëfandikuwul benn done
   • Ëmbeef yu bees yi kese lañuy xelal
7. What is one limitation of collaborative filtering for a new item with no interactions?
   • It cannot use ratings
   • It requires item descriptions only
   • It may lack the interaction data needed to recommend the item
   • It always recommends every new item
8. What should a recommender evaluation measure besides click-through rate?
   • Only the model’s parameter count
   • Only training loss
   • Only the number of recommendations
   • User outcomes and harms such as diversity, exposure, or unwanted engagement