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...

Celý popis

Podrobná bibliografie
Hlavní autor: Tian Ziyue
Médium: Článek
Jazyk:English
Vydáno: EDP Sciences 2025-01-01
Edice:ITM Web of Conferences
On-line přístup:https://www.itm-conferences.org/articles/itmconf/pdf/2025/04/itmconf_iwadi2024_01019.pdf