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5 rezultatov

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1. Feature embedding in click-through rate prediction
Samo Pahor, 2021, magistrsko delo

Ključne besede: real-time bidding, click-through rate prediction, feature embedding, feature transformation
Celotno besedilo (datoteka, 533,98 KB)

2. Using market exploration to deal with censored data in real-time bidding
Jan Hartman, 2021, magistrsko delo

Ključne besede: censored data, click-through rate prediction, real-time bidding, incremental learning, big data, demand-side platform
Celotno besedilo (datoteka, 1,37 MB)

3. A comparison of click-through rate prediction models in real-time-bidding
Anže Alič, 2023, magistrsko delo

Ključne besede: artificial intelligence, machine learning, click-through rate prediction, real-time bidding, incremental learning, big data, demand-side platform
Celotno besedilo (datoteka, 1,51 MB)

4. Optimizing Click-Through Rate in Online Advertising Using Cost-Sensitive Learning
Bernarda Petek, 2023, magistrsko delo

Ključne besede: real-time bidding, click-through rate prediction, cost-sensitive learning, custom loss function
Celotno besedilo (datoteka, 3,20 MB)

5. Multi-task learning in programmatic advertising
DOMEN VREŠ, 2023, magistrsko delo

Ključne besede: artificial intelligence, machine learning, multi-task learning, real-time bidding, viewability prediction, click-through rate prediction, conversion rate prediction, deep & cross network, cross-stitch layer, soft attention, uncertainty based loss weighing
Celotno besedilo (datoteka, 1,39 MB)

Iskanje izvedeno v 0.14 sek.