R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising.

@inproceedings{messina-2026-rfinventory, author = {Alberto Messina and Yunshan Peng and Grace E. Lee and Jinan Pang and Jianxin Chang and Peng Jiang and Ji Wu and Maurizio Montagnuolo and Aixin Sun and Wenzheng Shu and Wentao Bai and Alberto Messina and Yunshan Peng and Yunke Bai and Ji Wu and Maurizio Montagnuolo and Grace E. Lee and Jinan Pang and Aixin Sun and Wenzheng Shu and Yanxiang Zeng and Xialong Liu and Jianxin Chang and Peng Jiang}, 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 = {{R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {3349--3355}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808583}, doi = {https://doi.org/10.1145/3805712.3808583} }