Bandit Algorithms for Advertising Optimization: A Comparative Study

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...

書目詳細資料
主要作者:	Tian Ziyue
格式:	Article
語言:	English
出版:	EDP Sciences 2025-01-01
叢編:	ITM Web of Conferences
在線閱讀:	https://www.itm-conferences.org/articles/itmconf/pdf/2025/04/itmconf_iwadi2024_01019.pdf

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