Breaking the Relevance-Diversity Seesaw: Hierarchical LLM Reasoning with RL for Industrial Novelty Recommendation.

@inproceedings{liu-2026-breaking, author = {Qiaoling Liu and Ying Sun and Hanchuan Xu and Michael Chen and Yanyan Zou and Marti A. Hearst and Xuanhua Yang and Shengjie Li and Tao Yang and Qiaoling Liu and Ying Sun and Xiao Wang and Hanchuan Xu and Michael Chen and Marti A. Hearst and Xuanhua Yang and Sulong Xu and Junbo Qi and Shengjie Li and Tao Yang}, 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 = {{Breaking the Relevance-Diversity Seesaw: Hierarchical LLM Reasoning with RL for Industrial Novelty Recommendation}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4922--4927}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808399}, doi = {https://doi.org/10.1145/3805712.3808399} }