Calibrate Your Items! Train CTR Models in Two Steps for Robust Recommendations.

@inproceedings{han-2026-calibrate, author = {Yi Han and Jay Fleischman}, 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 = {{Calibrate Your Items! Train CTR Models in Two Steps for Robust Recommendations}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4633--4638}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808407}, doi = {https://doi.org/10.1145/3805712.3808407} }