DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation

Cite

Text

Zhang et al. "DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70381-2_3

Markdown

[Zhang et al. "DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/zhang2024ecmlpkdd-disco/) doi:10.1007/978-3-031-70381-2_3

BibTeX

@inproceedings{zhang2024ecmlpkdd-disco,
  title     = {{DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation}},
  author    = {Zhang, Jason Shuo and Howson, Benjamin and Savva, Panayiota and Loh, Eleanor},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {33-49},
  doi       = {10.1007/978-3-031-70381-2_3},
  url       = {https://mlanthology.org/ecmlpkdd/2024/zhang2024ecmlpkdd-disco/}
}