Full Retraining, Incremental Fine-tuning, and Hybrid Serving: Model Updating and Serving for Industrial Generative Recommender Systems.

@inproceedings{wen-2026-full, author = {Ji-Rong Wen and Lu Fan and Guoyuan An and Maik Fr\"{o}be and Qijiong Liu and Andrew Parry and Wei Guo and Zhongzhou Liu and Ferdinand Schlatt and Yong Liu and Guoyuan An and Maik Fr\"{o}be and Sean MacAvaney and Xiao-Ming Wu and Ji-Rong Wen and Lu Fan and Andrew Parry and Wei Guo and Ferdinand Schlatt and Yong Liu and Sean MacAvaney and Xiao-Ming Wu}, 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 = {{Full Retraining, Incremental Fine-tuning, and Hybrid Serving: Model Updating and Serving for Industrial Generative Recommender Systems}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4566--4571}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808403}, doi = {https://doi.org/10.1145/3805712.3808403} }