{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T18:03:58Z","timestamp":1784138638010,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":23,"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"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,20]]},"DOI":"10.1145\/3805712.3808503","type":"proceedings-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:06:26Z","timestamp":1784135186000},"page":"4902-4906","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6905-1242","authenticated-orcid":false,"given":"Ruixiao","family":"Sun","sequence":"first","affiliation":[{"name":"Google, Mountain View, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7287-188X","authenticated-orcid":false,"given":"Diego","family":"Uribe Mora","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6933-3952","authenticated-orcid":false,"given":"Zhimeng","family":"Jiang","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5783-7818","authenticated-orcid":false,"given":"Yuanzhen","family":"Lin","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2528-7473","authenticated-orcid":false,"given":"Jiarui","family":"Wang","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3849-5523","authenticated-orcid":false,"given":"Yuening","family":"Li","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9023-6169","authenticated-orcid":false,"given":"Danfeng","family":"Guo","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4766-1733","authenticated-orcid":false,"given":"Zhizhong","family":"Chen","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2116-8851","authenticated-orcid":false,"given":"Chuan","family":"He","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1248-1012","authenticated-orcid":false,"given":"Liang","family":"Liu","sequence":"additional","affiliation":[{"name":"Google, Mountain View, USA"}],"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":"10.1145\/3705328.3748065"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599922"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3326937.3341261"},{"key":"e_1_3_2_1_4_1","volume-title":"Yunjiang Jiang, Jane H Lee, Shouwei Chen, Khushhall Chandra Mahajan, Ning Jiang, Kai Ren, Jinhui Li, et al.","author":"Chen Zhimin","year":"2025","unstructured":"Zhimin Chen, Chenyu Zhao, Ka Chun Mo, Yunjiang Jiang, Jane H Lee, Shouwei Chen, Khushhall Chandra Mahajan, Ning Jiang, Kai Ren, Jinhui Li, et al., 2025. Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders. arXiv preprint arXiv:2510.22049 (2025)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109877"},{"key":"e_1_3_2_1_7_1","volume-title":"Deep retrieval: An end-to-end learnable structure model for large-scale recommendations. arXiv preprint arXiv:2007.07203","author":"Gao Weihao","year":"2020","unstructured":"Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, and Xiaobing Liu. 2020. Deep retrieval: An end-to-end learnable structure model for large-scale recommendations. arXiv preprint arXiv:2007.07203 (2020)."},{"key":"e_1_3_2_1_8_1","volume-title":"Plum: Adapting pre-trained language models for industrial-scale generative recommendations. arXiv preprint arXiv:2510.07784","author":"He Ruining","year":"2025","unstructured":"Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, et al., 2025. Plum: Adapting pre-trained language models for industrial-scale generative recommendations. arXiv preprint arXiv:2510.07784 (2025)."},{"key":"e_1_3_2_1_9_1","volume-title":"Session-based Recommendations with Recurrent Neural Networks. In International Conference on Learning Representations (ICLR).","author":"Hidasi Bal\u00e1zs","year":"2016","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_10_1","volume-title":"HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction. arXiv preprint arXiv:2601.12681","author":"Huang Yunwen","year":"2026","unstructured":"Yunwen Huang, Shiyong Hong, Xijun Xiao, Jinqiu Jin, Xuanyuan Luo, Zhe Wang, Zheng Chai, Shikang Wu, Yuchao Zheng, and Jingjian Lin. 2026. HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction. arXiv preprint arXiv:2601.12681 (2026)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688030"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3737209"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412744"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0452"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3680030"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_18_1","volume-title":"Efficient streaming language models with attention sinks. arXiv preprint arXiv:2309.17453","author":"Xiao Guangxuan","year":"2023","unstructured":"Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, and Mike Lewis. 2023. Efficient streaming language models with attention sinks. arXiv preprint arXiv:2309.17453 (2023)."},{"key":"e_1_3_2_1_19_1","unstructured":"Jiaqi Zhai Lucy Liao Xing Liu Yueming Wang Rui Li Xuan Cao Leon Gao Zhaojie Gong Fangda Gu Michael He et al. 2024. Actions speak louder than words: Trillion-parameter sequential transducers for generative recommendations. arXiv preprint arXiv:2402.17152 (2024)."},{"key":"e_1_3_2_1_20_1","volume-title":"Farewell to Item IDs: Unlocking the Scaling Potential of Large Ranking Models via Semantic Tokens. arXiv preprint arXiv:2601.22694","author":"Zhao Zhen","year":"2026","unstructured":"Zhen Zhao, Tong Zhang, Jie Xu, Qingliang Cai, Qile Zhang, Leyuan Yang, Daorui Xiao, and Xiaojia Chang. 2026. Farewell to Item IDs: Unlocking the Scaling Potential of Large Ranking Models via Semantic Tokens. arXiv preprint arXiv:2601.22694 (2026)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219826"}],"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":"2026-07-15T17:08:37Z","timestamp":1784135317000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805712.3808503"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"references-count":23,"alternative-id":["10.1145\/3805712.3808503","10.1145\/3805712"],"URL":"https:\/\/doi.org\/10.1145\/3805712.3808503","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"}}]}}