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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Bibliografiske detaljer
Hovedforfatter: Tian Ziyue
Format: Article
Sprog:English
Udgivet: EDP Sciences 2025-01-01
Serier:ITM Web of Conferences
Online adgang:https://www.itm-conferences.org/articles/itmconf/pdf/2025/04/itmconf_iwadi2024_01019.pdf