System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes

Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel. System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. In The 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024, Rio de Janeiro, Brazil, June 3-6, 2024. pages 1763-1773, ACM, 2024. [doi]

@inproceedings{AgarwalULN24,
  title = {System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes},
  author = {Arpit Agarwal and Nicolas Usunier and Alessandro Lazaric and Maximilian Nickel},
  year = {2024},
  doi = {10.1145/3630106.3659004},
  url = {https://doi.org/10.1145/3630106.3659004},
  researchr = {https://researchr.org/publication/AgarwalULN24},
  cites = {0},
  citedby = {0},
  pages = {1763-1773},
  booktitle = {The 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024, Rio de Janeiro, Brazil, June 3-6, 2024},
  publisher = {ACM},
}