Precision at Scale: An End-to-End Graph-based Framework for Mitigating Network Interference in TikTok A/B Tests.

@inproceedings{li-2026-precision, author = {Yuhan Li and Jiayun Ni and Ao Li and Yue Wang and Seng You Paul Chee and Yongmin Hu and Runze Yu}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Precision at Scale: An End-to-End Graph-based Framework for Mitigating Network Interference in TikTok A/B Tests}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4727--4731}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808453}, doi = {https://doi.org/10.1145/3805712.3808453} }