{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T17:14:49Z","timestamp":1775841289302,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","funder":[{"name":"National Natural Science Foundation of China","award":["62502486"],"award-info":[{"award-number":["62502486"]}]},{"name":"National Natural Science Foundation of China","award":["U23A20319"],"award-info":[{"award-number":["U23A20319"]}]},{"name":"Provincial Natural Science Foundation of Anhui Province","award":["2408085QF193"],"award-info":[{"award-number":["2408085QF193"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792562","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:54:34Z","timestamp":1775771674000},"page":"6551-6561","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0994-473X","authenticated-orcid":false,"given":"Zhiding","family":"Liu","sequence":"first","affiliation":[{"name":"State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4495-8686","authenticated-orcid":false,"given":"Ben","family":"Chen","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9873-7681","authenticated-orcid":false,"given":"Mingyue","family":"Cheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4835-4102","authenticated-orcid":false,"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5491-3693","authenticated-orcid":false,"given":"Li","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6287-3673","authenticated-orcid":false,"given":"Chenyi","family":"Lei","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2437-6835","authenticated-orcid":false,"given":"Wenwu","family":"Ou","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9801-9292","authenticated-orcid":false,"given":"Han","family":"Li","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3636-3618","authenticated-orcid":false,"given":"Kun","family":"Gai","sequence":"additional","affiliation":[{"name":"Kuaishou Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Ben Chen Xian Guo Siyuan Wang Zihan Liang Yue Lv Yufei Ma Xinlong Xiao Bowen Xue Xuxin Zhang Ying Yang et al. 2025. OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search. arXiv preprint arXiv:2509.03236 (2025)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512066"},{"key":"e_1_3_2_1_3_1","volume-title":"Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis. arXiv preprint arXiv:2601.04879","author":"Cheng Mingyue","year":"2026","unstructured":"Mingyue Cheng, Daoyu Wang, Qi Liu, Shuo Yu, Xiaoyu Tao, Yuqian Wang, Chengzhong Chu, Yu Duan, Mingkang Long, and Enhong Chen. 2026. Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis. arXiv preprint arXiv:2601.04879 (2026)."},{"key":"e_1_3_2_1_4_1","volume-title":"Can slow-thinking llms reason over time? empirical studies in time series forecasting. arXiv preprint arXiv:2505.24511","author":"Cheng Mingyue","year":"2025","unstructured":"Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu, and Enhong Chen. 2025. Can slow-thinking llms reason over time? empirical studies in time series forecasting. arXiv preprint arXiv:2505.24511 (2025)."},{"key":"e_1_3_2_1_5_1","volume-title":"Introduction to algorithms","author":"Cormen Thomas H","unstructured":"Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, and Clifford Stein. 2022. Introduction to algorithms. MIT press."},{"key":"e_1_3_2_1_6_1","volume-title":"Autoregressive entity retrieval. arXiv preprint arXiv:2010.00904","author":"Cao Nicola De","year":"2020","unstructured":"Nicola De Cao, Gautier Izacard, Sebastian Riedel, and Fabio Petroni. 2020. Autoregressive entity retrieval. arXiv preprint arXiv:2010.00904 (2020)."},{"key":"e_1_3_2_1_7_1","volume-title":"Onerec: Unifying retrieve and rank with generative recommender and iterative preference alignment. arXiv preprint arXiv:2502.18965","author":"Deng Jiaxin","year":"2025","unstructured":"Jiaxin Deng, Shiyao Wang, Kuo Cai, Lejian Ren, Qigen Hu, Weifeng Ding, Qiang Luo, and Guorui Zhou. 2025. Onerec: Unifying retrieve and rank with generative recommender and iterative preference alignment. arXiv preprint arXiv:2502.18965 (2025)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463098"},{"key":"e_1_3_2_1_9_1","unstructured":"Daya Guo Dejian Yang Haowei Zhang Junxiao Song Ruoyu Zhang Runxin Xu Qihao Zhu Shirong Ma Peiyi Wang Xiao Bi et al. 2025b. Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning. arXiv preprint arXiv:2501.12948 (2025)."},{"key":"e_1_3_2_1_10_1","volume-title":"OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion. arXiv preprint arXiv:2506.06913","author":"Guo Xian","year":"2025","unstructured":"Xian Guo, Ben Chen, Siyuan Wang, Ying Yang, Chenyi Lei, Yuqing Ding, and Han Li. 2025a. OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion. arXiv preprint arXiv:2506.06913 (2025)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_1_12_1","volume-title":"Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih.","author":"Karpukhin Vladimir","year":"2020","unstructured":"Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick SH Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020. Dense Passage Retrieval for Open-Domain Question Answering.. In EMNLP (1). 6769-6781."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401075"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28717"},{"key":"e_1_3_2_1_15_1","volume-title":"Jinpeng Wang, Sheng Chen, and Ji-Rong Wen.","author":"Liu Enze","year":"2025","unstructured":"Enze Liu, Bowen Zheng, Xiaolei Wang, Wayne Xin Zhao, Jinpeng Wang, Sheng Chen, and Ji-Rong Wen. 2025b. LARES: Latent Reasoning for Sequential Recommendation. arXiv preprint arXiv:2505.16865 (2025)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591900"},{"key":"e_1_3_2_1_17_1","volume-title":"Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising. arXiv preprint arXiv:2504.01304","author":"Liu Tongtong","year":"2025","unstructured":"Tongtong Liu, Zhaohui Wang, Meiyue Qin, Zenghui Lu, Xudong Chen, Yuekui Yang, and Peng Shu. 2025a. Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising. arXiv preprint arXiv:2504.01304 (2025)."},{"key":"e_1_3_2_1_18_1","volume-title":"Qarm: Quantitative alignment multi-modal recommendation at kuaishou. arXiv preprint arXiv:2411.11739","author":"Luo Xinchen","year":"2024","unstructured":"Xinchen Luo, Jiangxia Cao, Tianyu Sun, Jinkai Yu, Rui Huang, Wei Yuan, Hezheng Lin, Yichen Zheng, Shiyao Wang, Qigen Hu, et al., 2024. Qarm: Quantitative alignment multi-modal recommendation at kuaishou. arXiv preprint arXiv:2411.11739 (2024)."},{"key":"e_1_3_2_1_19_1","volume-title":"Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs. arXiv preprint arXiv:2506.10630","author":"Luo Yucong","year":"2025","unstructured":"Yucong Luo, Yitong Zhou, Mingyue Cheng, Jiahao Wang, Daoyu Wang, Tingyue Pan, and Jintao Zhang. 2025. Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs. arXiv preprint arXiv:2506.10630 (2025)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657902"},{"key":"e_1_3_2_1_21_1","volume-title":"Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, et al.","author":"Neelakantan Arvind","year":"2022","unstructured":"Arvind Neelakantan, Tao Xu, Raul Puri, Alec Radford, Jesse Michael Han, Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, et al., 2022. Text and code embeddings by contrastive pre-training. arXiv preprint arXiv:2201.10005 (2022)."},{"key":"e_1_3_2_1_22_1","first-page":"413","volume-title":"Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval. In Companion Proceedings of the ACM on Web Conference","author":"Pang Ming","year":"2025","unstructured":"Ming Pang, Chunyuan Yuan, Xiaoyu He, Zheng Fang, Donghao Xie, Fanyi Qu, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo, et al., 2025. Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval. In Companion Proceedings of the ACM on Web Conference 2025. 413-421."},{"key":"e_1_3_2_1_23_1","first-page":"10299","article-title":"Recommender systems with generative retrieval","volume":"36","author":"Rajput Shashank","year":"2023","unstructured":"Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Tran, Jonah Samost, et al., 2023. Recommender systems with generative retrieval. Advances in Neural Information Processing Systems, Vol. 36 (2023), 10299-10315.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_1_25_1","volume-title":"Term-weighting approaches in automatic text retrieval. Information processing & management","author":"Salton Gerard","year":"1988","unstructured":"Gerard Salton and Christopher Buckley. 1988. Term-weighting approaches in automatic text retrieval. Information processing & management, Vol. 24, 5 (1988), 513-523."},{"key":"e_1_3_2_1_26_1","volume-title":"Deepseekmath: Pushing the limits of mathematical reasoning in open language models. arXiv preprint arXiv:2402.03300","author":"Shao Zhihong","year":"2024","unstructured":"Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, YK Li, Yang Wu, et al., 2024. Deepseekmath: Pushing the limits of mathematical reasoning in open language models. arXiv preprint arXiv:2402.03300 (2024)."},{"key":"e_1_3_2_1_27_1","volume-title":"Unified Generative Search and Recommendation. arXiv preprint arXiv:2504.05730","author":"Shi Teng","year":"2025","unstructured":"Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, and Enyun Yu. 2025. Unified Generative Search and Recommendation. arXiv preprint arXiv:2504.05730 (2025)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615123"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3653712"},{"key":"e_1_3_2_1_30_1","first-page":"21831","article-title":"Transformer memory as a differentiable search index","volume":"35","author":"Tay Yi","year":"2022","unstructured":"Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, et al., 2022. Transformer memory as a differentiable search index. Advances in Neural Information Processing Systems, Vol. 35 (2022), 21831-21843.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_31_1","unstructured":"Qwen Team. 2025. Qwen3 Technical Report. arXiv:2505.09388 [cs.CL] https:\/\/arxiv.org\/abs\/2505.09388"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679569"},{"key":"e_1_3_2_1_33_1","first-page":"25600","article-title":"A neural corpus indexer for document retrieval","volume":"35","author":"Wang Yujing","year":"2022","unstructured":"Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, et al., 2022. A neural corpus indexer for document retrieval. Advances in Neural Information Processing Systems, Vol. 35 (2022), 25600-25614.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679692"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657878"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.41"},{"key":"e_1_3_2_1_37_1","volume-title":"Yun He, Xue Feng, Nima Noorshams, Sem Park, et al.","author":"Yang Liu","year":"2024","unstructured":"Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, et al., 2024. Unifying generative and dense retrieval for sequential recommendation. arXiv preprint arXiv:2411.18814 (2024)."},{"key":"e_1_3_2_1_38_1","unstructured":"Yuhao Yang Zhi Ji Zhaopeng Li Yi Li Zhonglin Mo Yue Ding Kai Chen Zijian Zhang Jie Li Shuanglong Li et al. 2025. Sparse meets dense: Unified generative recommendations with cascaded sparse-dense representations. arXiv preprint arXiv:2503.02453 (2025)."},{"key":"e_1_3_2_1_39_1","volume-title":"R2ec: Towards Large Recommender Models with Reasoning. arXiv preprint arXiv:2505.16994","author":"You Runyang","year":"2025","unstructured":"Runyang You, Yongqi Li, Xinyu Lin, Xin Zhang, Wenjie Wang, Wenjie Li, and Liqiang Nie. 2025. R2ec: Towards Large Recommender Models with Reasoning. arXiv preprint arXiv:2505.16994 (2025)."},{"key":"e_1_3_2_1_40_1","volume-title":"Dapo: An open-source llm reinforcement learning system at scale. arXiv preprint arXiv:2503.14476","author":"Yu Qiying","year":"2025","unstructured":"Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Weinan Dai, Tiantian Fan, Gaohong Liu, Lingjun Liu, et al., 2025. Dapo: An open-source llm reinforcement learning system at scale. arXiv preprint arXiv:2503.14476 (2025)."},{"key":"e_1_3_2_1_41_1","volume-title":"A dual augmented two-tower model for online large-scale recommendation. DLP-KDD","author":"Yu Yantao","year":"2021","unstructured":"Yantao Yu, Weipeng Wang, Zhoutian Feng, and Daiyue Xue. 2021. A dual augmented two-tower model for online large-scale recommendation. DLP-KDD (2021)."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3129994"},{"key":"e_1_3_2_1_43_1","volume-title":"Embedding: Advancing Text Embedding and Reranking Through Foundation Models. arXiv preprint arXiv:2506.05176","author":"Zhang Yanzhao","year":"2025","unstructured":"Yanzhao Zhang, Mingxin Li, Dingkun Long, Xin Zhang, Huan Lin, Baosong Yang, Pengjun Xie, An Yang, Dayiheng Liu, Junyang Lin, et al., 2025a. Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models. arXiv preprint arXiv:2506.05176 (2025)."},{"key":"e_1_3_2_1_44_1","volume-title":"Reinforced Latent Reasoning for LLM-based Recommendation. arXiv preprint arXiv:2505.19092","author":"Zhang Yang","year":"2025","unstructured":"Yang Zhang, Wenxin Xu, Xiaoyan Zhao, Wenjie Wang, Fuli Feng, Xiangnan He, and Tat-Seng Chua. 2025b. Reinforced Latent Reasoning for LLM-based Recommendation. arXiv preprint arXiv:2505.19092 (2025)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637870"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00118"},{"key":"e_1_3_2_1_47_1","unstructured":"Chujie Zheng Shixuan Liu Mingze Li Xiong-Hui Chen Bowen Yu Chang Gao Kai Dang Yuqiong Liu Rui Men An Yang et al. 2025. Group sequence policy optimization. arXiv preprint arXiv:2507.18071 (2025)."}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"deposited":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:33:03Z","timestamp":1775838783000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792562"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":47,"alternative-id":["10.1145\/3774904.3792562","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792562","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}