{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T18:06:33Z","timestamp":1784138793511,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Beijing Nova Program","award":["No.20250484857"],"award-info":[{"award-number":["No.20250484857"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,20]]},"DOI":"10.1145\/3805712.3808399","type":"proceedings-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T14:28:19Z","timestamp":1783693699000},"page":"4922-4927","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Breaking the Relevance\u2013Diversity Seesaw: Hierarchical LLM Reasoning with RL for Industrial Novelty Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2363-8384","authenticated-orcid":false,"given":"Ying","family":"Sun","sequence":"first","affiliation":[{"name":"Harbin Institute of Technology, Harbin, Heilongjiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8153-9299","authenticated-orcid":false,"given":"Yanyan","family":"Zou","sequence":"additional","affiliation":[{"name":"JD.COM, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2510-3351","authenticated-orcid":false,"given":"Xiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, Heilongjiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6813-2435","authenticated-orcid":false,"given":"Hanchuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Harbin Institute of Technology, Harbin, Heilongjiang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6644-627X","authenticated-orcid":false,"given":"Xuanhua","family":"Yang","sequence":"additional","affiliation":[{"name":"JD.COM, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0345-334X","authenticated-orcid":false,"given":"Sulong","family":"Xu","sequence":"additional","affiliation":[{"name":"JD.COM, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3118-1350","authenticated-orcid":false,"given":"Junbo","family":"Qi","sequence":"additional","affiliation":[{"name":"Waseda University, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3489-9125","authenticated-orcid":false,"given":"Shengjie","family":"Li","sequence":"additional","affiliation":[{"name":"JD.COM, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3616855"},{"key":"e_1_3_2_1_2_1","unstructured":"Abhimanyu Dubey Abhinav Jauhri Abhinav Pandey Abhishek Kadian Ahmad Al-Dahle Aiesha Letman Akhil Mathur Alan Schelten Amy Yang Angela Fan et al. 2024. The llama 3 herd of models. arXiv e-prints (2024) arXiv-2407."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00012"},{"key":"e_1_3_2_1_4_1","unstructured":"Daya Guo Dejian Yang Haowei Zhang Junxiao Song Ruoyu Zhang Runxin Xu Qihao Zhu Shirong Ma Peiyi Wang Xiao Bi et al. 2025. Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning. arXiv preprint arXiv:2501.12948 (2025)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2403.03952"},{"key":"e_1_3_2_1_6_1","first-page":"666","article-title":"An overview of electronic commerce (e-Commerce)","volume":"27","author":"Jain Vipin","year":"2021","unstructured":"Vipin Jain, BINDOO Malviya, and SATYENDRA Arya. 2021. An overview of electronic commerce (e-Commerce). Journal of Contemporary Issues in Business and Government, Vol. 27, 3 (2021), 666.","journal-title":"Journal of Contemporary Issues in Business and Government"},{"key":"e_1_3_2_1_7_1","volume-title":"The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=eHehzSDUFp","author":"Kim Jiyeon","year":"2025","unstructured":"Jiyeon Kim, Hyunji Lee, Hyowon Cho, Joel Jang, Hyeonbin Hwang, Seungpil Won, Youbin Ahn, Dohaeng Lee, and Minjoon Seo. 2025. Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition. In The Thirteenth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=eHehzSDUFp"},{"key":"e_1_3_2_1_8_1","volume-title":"Preserving Diversity in Supervised Fine-Tuning of Large Language Models. In The Thirteenth International Conference on Learning Representations, ICLR 2025","author":"Li Ziniu","year":"2025","unstructured":"Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Zhi-Quan Luo, and Ruoyu Sun. 2025. Preserving Diversity in Supervised Fine-Tuning of Large Language Models. In The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025."},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track. 272-284","author":"Lin Peng","year":"2022","unstructured":"Peng Lin, Yanyan Zou, Lingfei Wu, Mian Ma, Zhuoye Ding, and Bo Long. 2022. Automatic Scene-based Topic Channel Construction System for E-Commerce. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track. 272-284."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3616855.3635845"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2503.20783"},{"key":"e_1_3_2_1_12_1","volume-title":"Serendipitous Personalized Ranking for Top-N Recommendation (WI-IAT '12)","author":"Lu Qiuxia","year":"2012","unstructured":"Qiuxia Lu, Tianqi Chen, Weinan Zhang, Diyi Yang, and Yong Yu. 2012. Serendipitous Personalized Ranking for Top-N Recommendation (WI-IAT '12). IEEE Computer Society, USA, 258\u2013265."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-naacl.39"},{"key":"e_1_3_2_1_14_1","volume-title":"ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models. https:\/\/openreview.net\/forum?id=3pDMYjpOxk","author":"O'Mahony Laura","year":"2024","unstructured":"Laura O'Mahony, Leo Grinsztajn, Hailey Schoelkopf, and Stella Biderman. 2024. Attributing Mode Collapse in the fine-tuning of Large Language Models. In ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models. https:\/\/openreview.net\/forum?id=3pDMYjpOxk"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3796509"},{"key":"e_1_3_2_1_16_1","volume-title":"Junxiao Song, Mingchuan Zhang, Y.K. Li, Y. Wu, and Daya Guo.","author":"Shao Zhihong","year":"2024","unstructured":"Zhihong Shao, Peiyi Wang, Runxin Xu Qihao Zhu, Junxiao Song, Mingchuan Zhang, Y.K. Li, Y. Wu, and Daya Guo. 2024. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models. https:\/\/arxiv.org\/abs\/2402.03300"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671618"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-021-1277-0"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688161"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3610234"},{"key":"e_1_3_2_1_21_1","volume-title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.331"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688104"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737199"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657883"},{"key":"e_1_3_2_1_26_1","first-page":"11809","volume-title":"Levine (Eds.)","volume":"36","author":"Yao Shunyu","year":"2023","unstructured":"Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2023. Tree of Thoughts: Deliberate Problem Solving with Large Language Models. In Advances in Neural Information Processing Systems, A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (Eds.), Vol. 36. Curran Associates, Inc., 11809-11822. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2023\/file\/271db9922b8d1f4dd7aaef84ed5ac703-Paper-Conference.pdf"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2503.14476"},{"key":"e_1_3_2_1_28_1","volume-title":"Chi","author":"Zhou Denny","year":"2023","unstructured":"Denny Zhou, Nathanael Sch\u00e4rli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc Le, and Ed Chi. 2023. Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. arXiv:2205.10625 [cs.AI] https:\/\/arxiv.org\/abs\/2205.10625"}],"event":{"name":"SIGIR '26: The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Melbourne VIC Australia","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"deposited":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:24:34Z","timestamp":1784136274000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805712.3808399"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"references-count":28,"alternative-id":["10.1145\/3805712.3808399","10.1145\/3805712"],"URL":"https:\/\/doi.org\/10.1145\/3805712.3808399","relation":{},"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"2026-07-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}