AI muMumhanzi Recommendation Systems Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Chii chinonzi 'cold start' dambudziko mukurudziro yemimhanzi?
   • Zvakaoma kurumbidza matrack matsva kana vashandisi vasina nhoroondo yekuteerera
   • Nziyo dzinoridza zvishoma nezvishoma
   • Masevha ari kuputsika munguva yechando
   • Mazita ekutamba akareba
2. Ko content-based audio analysis ingabatsire sei kurumbidza rwiyo rutsva kana rusina kunzwikwa?
   • By relying only on the new track’s total number of past plays
   • By comparing audio-derived representations with tracks that match a listener’s musical preferences
   • By matching its file size to songs in the same playlist
   • By using the song’s upload date as its only similarity signal
3. Kusefa kwekubatana kunonyanya kushanda nekutsvaga chii?
   • Nziyo dzakareba zvakafanana
   • Makwara akachipa
   • Vateereri vane tsika dzakafanana uye vachirumbidza zvavanoda
   • Nziyo dziri munhevedzano yearufabheti
4. Mune embedding-based system, nziyo mbiri dzinoonekwa dzakafanana kana mavector adzo ari chii?
   • Kureba kwakafanana
   • Mavara akasiyana
   • Yakachengetwa pane imwechete server
   • Pedyo pamwe chete munzvimbo yakagovaniswa
5. Chii chinonzi Pandora's Music Genome Project inovimba nacho zvakanyanya?
   • Detailed musical attribute tagging of songs
   • Random shuffling
   • Kuzivikanwa kwemuimbi chete
   • Kero yeemail yemushandisi
6. Sei mapuratifomu achinyanya kutarisisa kune kururamisira mukurudziro?
   • Kuita kuti mazita ekutamba ave mapfupi
   • Kudzivirira chete kusimbisa mashoma mega-hits uye kubatsira madiki maartist kuwanikwa
   • Kuderedza masaizi efaira
   • Kunonoka kutamba
7. What does playlist co-occurrence contribute to a music recommender?
   • A measurement of the track’s audio sample rate
   • A prediction of how much storage a song requires
   • Context about which tracks listeners place together in playlists
   • A replacement for listening-history data
8. Why is nearest-neighbor search useful after music tracks are mapped into an embedding space?
   • It transcribes every track’s lyrics first
   • It changes the recording’s sample rate
   • It selects songs by file name only
   • It can quickly retrieve tracks whose vectors are close to a user’s vector