Bandit Algorithms for Advertising Optimization: A Comparative Study
In recent years, the rapid development of digital advertising has challenged advertisers to make optimal choices among multiple options quickly. This is crucial for increasing user engagement and return on investment. However, traditional A/B testing often suffers from slow response times and diffic...
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| Format: | Artykuł |
| Język: | English |
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EDP Sciences
2025-01-01
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| Seria: | ITM Web of Conferences |
| Dostęp online: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/04/itmconf_iwadi2024_01019.pdf |