Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems.
Hitesh Sagtani|Madan Gopal Jhawar|Akshat Gupta|Rishabh Mehrotra
| Anthology ID: | DBLP:conf/sigir/SagtaniJGM23 |
|---|---|
| Volume: | Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 |
| Year: | 2023 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2293-2297 |
| URL: | https://doi.org/10.1145/3539618.3592044 |
| DOI: | https://doi.org/10.1145/3539618.3592044 |
| DBLP: | conf/sigir/SagtaniJGM23 |
| BibTeX: |
@inproceedings{sagtani-2023-quantifying,
author = {Hitesh Sagtani and
Madan Gopal Jhawar and
Akshat Gupta and
Rishabh Mehrotra},
editor = {Hsin-Hsi Chen and
Wei-Jou (Edward) Duh and
Hen-Hsen Huang and
Makoto P. Kato and
Josiane Mothe and
Barbara Poblete},
title = {{Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems}},
booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}},
pages = {2293--2297},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539618.3592044},
doi = {https://doi.org/10.1145/3539618.3592044}
}