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} }