quiz bu lëkkale ak tegtal · Diggante Niveau
Quiz ci motëri personaalisasioŋ IA
Jàngaleel ni sistemu recommandé yi di boolee doxalin, man-mani mbir yi, seet kàndidaa yi ak rang yi ngir méngale limu benn jëfandikukat.
Laaj 1 de 8
Lan mooy njëkka aju ci segg lëkkaloo?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- Lan mooy njëkka aju ci segg lëkkaloo?
- Modèle ci jëfandikukat yu bari, lu melni 'nit ñi bëgg X itam bëgg nañu Y'
- Tegtal bu nekk ci mbind mi kese
- Niveau batëri jëfandikukat bi
- Limu 10 gëna mag yiñ tëral
- Luy 'jafe-jafe tàmbali bu sedd' ci personaalisasioŋ?
- Serveur yi dañuy yàgg lool ngir tàmbali
- Am ay done yu néew wala amul benn done ci jëfandikukat bu bees wala mbir mu bees
- Liñu lay digal nga liggéey ci hiver bi kese
- Jëfandikukat yiy faral di genn
- Ci architecture bu am ñaari etap, lan la etap bu njëkk bi (generation kandidaa) di def?
- Fukki mbir kese lañu ci rang
- Binndal leeral yi mujj ci produit bi
- Dafay gaaw wàññi ay milioŋ ciy mbir ba ci ay téemeeri mbir yu néew
- efaase kontu jëfandikukat yi nekkul
- Why might a recommender add a diversity objective to a ranked list?
- To guarantee every item receives equal clicks
- To remove all user-history signals
- To make every recommendation random
- To avoid filling the list with near-duplicate items and broaden the alternatives shown
- Luy 'dugal' ci sistemu xalaat?
- Vecteur yiy wane jëfandikukat yi ak mbir yi, kon jegewaale bi dafay wane njariñ
- Puce physique yi ci serwër bi
- Kuki yiñ denc ci nawigatër bi
- Mbir yiñ bind ci imeel bi
- Lan moo waral feedback bu nëbbu bi (click yi, waxtu seetaan bi) di faral di gëna am solo ci notu star yu leer yi?
- Naxasaale moo gëna yomb
- Dafa gëna bari te dafay wane ni nit ñi di doxalee
- Yoon daf ko sàkku
- Njortu biddiiw jagul yoon
- What does content-based filtering use to recommend items?
- Only other users’ passwords
- Random item order
- Features of items a user has liked or interacted with
- The device’s battery history
- What does normalized discounted cumulative gain (NDCG) evaluate?
- The number of users who created accounts
- The model’s training duration
- Whether an item description is grammatically correct
- The quality of a ranked list, giving higher weight to relevant items near the top