Sequential decision-making problems in online marketing campaigns: optimisation and learning
This thesis investigates sequential decision-making in online marketing, focusing on the applications of multi-armed bandits (MABs) in reward-based crowdfunding and online advertising, with the aim of supporting marketing practitioners in effectively managing trade-offs in decision-making to maximise total revenue.
Institutions
- Loughborough University (GB)
Publication Details
- Journal
- Loughborough University Research Repository (Loughborough University)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.26174/thesis.lboro.28490306
- Primary Topic
- Advanced Bandit Algorithms Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00