{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T18:07:37Z","timestamp":1784138857134,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":51,"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":"General Research Funds from the Hong Kong Research Grants Council","award":["PolyU 15207322"],"award-info":[{"award-number":["PolyU 15207322"]}]},{"name":"General Research Funds from the Hong Kong Research Grants Council","award":["PolyU 15200023"],"award-info":[{"award-number":["PolyU 15200023"]}]},{"name":"General Research Funds from the Hong Kong Research Grants Council","award":["Polyu 15206024"],"award-info":[{"award-number":["Polyu 15206024"]}]},{"name":"General Research Funds from the Hong Kong Research Grants Council","award":["Polyu 15224524"],"award-info":[{"award-number":["Polyu 15224524"]}]},{"name":"Internal research funds from Hong Kong Polytechnic University","award":["P0059586"],"award-info":[{"award-number":["P0059586"]}]},{"name":"Internal research funds from Hong Kong Polytechnic University","award":["P0042693"],"award-info":[{"award-number":["P0042693"]}]},{"name":"Internal research funds from Hong Kong Polytechnic University","award":["P0048625"],"award-info":[{"award-number":["P0048625"]}]},{"name":"Internal research funds from Hong Kong Polytechnic University","award":["P0051361"],"award-info":[{"award-number":["P0051361"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,20]]},"DOI":"10.1145\/3805712.3809536","type":"proceedings-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:06:26Z","timestamp":1784135186000},"page":"1983-1993","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Beyond Static Diffusion: Explicitly Modeling Temporal Patterns in Sequential Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5480-929X","authenticated-orcid":false,"given":"Yao","family":"Wu","sequence":"first","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3463-3055","authenticated-orcid":false,"given":"Chengyi","family":"Liu","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4049-1233","authenticated-orcid":false,"given":"Wenqi","family":"Fan","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8132-6250","authenticated-orcid":false,"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Structured denoising diffusion models in discrete state-spaces. Advances in neural information processing systems","author":"Austin Jacob","year":"2021","unstructured":"Jacob Austin, Daniel D Johnson, Jonathan Ho, Daniel Tarlow, and Rianne Van Den Berg. 2021. Structured denoising diffusion models in discrete state-spaces. Advances in neural information processing systems, Vol. 34 (2021), 17981-17993."},{"key":"e_1_3_2_1_2_1","volume-title":"Pattern recognition and machine learning","author":"Bishop Christopher M","unstructured":"Christopher M Bishop and Nasser M Nasrabadi. 2006. Pattern recognition and machine learning. Vol. 4. Springer."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2024.102427"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462968"},{"key":"e_1_3_2_1_5_1","volume-title":"Analog bits: Generating discrete data using diffusion models with self-conditioning. arXiv preprint arXiv:2208.04202","author":"Chen Ting","year":"2022","unstructured":"Ting Chen, Ruixiang Zhang, and Geoffrey Hinton. 2022. Analog bits: Generating discrete data using diffusion models with self-conditioning. arXiv preprint arXiv:2208.04202 (2022)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679655"},{"key":"e_1_3_2_1_7_1","volume-title":"Diffusion models beat gans on image synthesis. Advances in neural information processing systems","author":"Dhariwal Prafulla","year":"2021","unstructured":"Prafulla Dhariwal and Alexander Nichol. 2021. Diffusion models beat gans on image synthesis. Advances in neural information processing systems, Vol. 34 (2021), 8780-8794."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109877"},{"key":"e_1_3_2_1_9_1","volume-title":"Sequential recommendation with diffusion models. arXiv preprint arXiv:2304.04541","author":"Du Hanwen","year":"2023","unstructured":"Hanwen Du, Huanhuan Yuan, Zhen Huang, Pengpeng Zhao, and Xiaofang Zhou. 2023. Sequential recommendation with diffusion models. arXiv preprint arXiv:2304.04541 (2023)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Wenqi Fan Yao Ma Qing Li Yuan He Eric Zhao Jiliang Tang and Dawei Yin. 2019. Graph neural networks for social recommendation. In The world wide web conference. 417-426.","DOI":"10.1145\/3308558.3313488"},{"key":"e_1_3_2_1_11_1","volume-title":"Generative adversarial nets. Advances in neural information processing systems","author":"Goodfellow Ian J","year":"2014","unstructured":"Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. Advances in neural information processing systems, Vol. 27 (2014)."},{"key":"e_1_3_2_1_12_1","volume-title":"Session-based Recommendations with Recurrent Neural Networks. arXiv preprint arXiv:1511.06939","author":"Hidasi B","year":"2015","unstructured":"B Hidasi. 2015. Session-based Recommendations with Recurrent Neural Networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_1_13_1","volume-title":"Denoising diffusion probabilistic models. Advances in neural information processing systems","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising diffusion probabilistic models. Advances in neural information processing systems, Vol. 33 (2020), 6840-6851."},{"key":"e_1_3_2_1_14_1","volume-title":"Autoregressive diffusion models. arXiv preprint arXiv:2110.02037","author":"Hoogeboom Emiel","year":"2021","unstructured":"Emiel Hoogeboom, Alexey A Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, and Tim Salimans. 2021. Autoregressive diffusion models. arXiv preprint arXiv:2110.02037 (2021)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547855"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_17_1","volume-title":"Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114","author":"Kingma Diederik P","year":"2013","unstructured":"Diederik P Kingma and Max Welling. 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)."},{"key":"e_1_3_2_1_18_1","volume-title":"Diffusion-lm improves controllable text generation. Advances in neural information processing systems","author":"Li Xiang","year":"2022","unstructured":"Xiang Li, John Thickstun, Ishaan Gulrajani, Percy S Liang, and Tatsunori B Hashimoto. 2022. Diffusion-lm improves controllable text generation. Advances in neural information processing systems, Vol. 35 (2022), 4328-4343."},{"key":"e_1_3_2_1_19_1","first-page":"1","article-title":"Diffurec: A diffusion model for sequential recommendation","volume":"42","author":"Li Zihao","year":"2023","unstructured":"Zihao Li, Aixin Sun, and Chenliang Li. 2023. Diffurec: A diffusion model for sequential recommendation. ACM Transactions on Information Systems, Vol. 42, 3 (2023), 1-28.","journal-title":"ACM Transactions on Information Systems"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3773966.3777987"},{"key":"e_1_3_2_1_22_1","volume-title":"Generative diffusion models on graphs: Methods and applications. arXiv preprint arXiv:2302.02591","author":"Liu Chengyi","year":"2023","unstructured":"Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, and Qing Li. 2023. Generative diffusion models on graphs: Methods and applications. arXiv preprint arXiv:2302.02591 (2023)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3600103"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463036"},{"key":"e_1_3_2_1_25_1","volume-title":"International conference on machine learning. PMLR, 8162-8171","author":"Nichol Alexander Quinn","year":"2021","unstructured":"Alexander Quinn Nichol and Prafulla Dhariwal. 2021. Improved denoising diffusion probabilistic models. In International conference on machine learning. PMLR, 8162-8171."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3049692"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3726302.3730010"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291007"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645633"},{"key":"e_1_3_2_1_34_1","volume-title":"International conference on machine learning. pmlr, 2256-2265","author":"Sohl-Dickstein Jascha","year":"2015","unstructured":"Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. 2015. Deep unsupervised learning using nonequilibrium thermodynamics. In International conference on machine learning. pmlr, 2256-2265."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_37_1","volume-title":"Csdi: Conditional score-based diffusion models for probabilistic time series imputation. Advances in neural information processing systems","author":"Tashiro Yusuke","year":"2021","unstructured":"Yusuke Tashiro, Jiaming Song, Yang Song, and Stefano Ermon. 2021. Csdi: Conditional score-based diffusion models for probabilistic time series imputation. Advances in neural information processing systems, Vol. 34 (2021), 24804-24816."},{"key":"e_1_3_2_1_38_1","volume-title":"Attention is all you need. Advances in neural information processing systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-10989-8_47"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611967"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591663"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380186"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-97-2262-4_13"},{"key":"e_1_3_2_1_44_1","volume-title":"Diffusion Models in Recommendation Systems: A Survey. arXiv preprint arXiv:2501.10548","author":"Wei Ting-Ruen","year":"2025","unstructured":"Ting-Ruen Wei and Yi Fang. 2025. Diffusion Models in Recommendation Systems: A Survey. arXiv preprint arXiv:2501.10548 (2025)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449873"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1054"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290975"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591932"},{"key":"e_1_3_2_1_49_1","first-page":"3224","article-title":"Overview of Multimodal Generation for Recommender Systems","volume":"19","author":"Zhang Rui","year":"2025","unstructured":"Rui Zhang and Zhipeng Bian. 2025. Overview of Multimodal Generation for Recommender Systems. Journal of Frontiers of Computer Science and Technology, Vol. 19, 12 (2025), 3224-3242.","journal-title":"Journal of Frontiers of Computer Science and Technology"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/333"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411954"}],"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":"2026-07-15T17:27:15Z","timestamp":1784136435000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3805712.3809536"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"references-count":51,"alternative-id":["10.1145\/3805712.3809536","10.1145\/3805712"],"URL":"https:\/\/doi.org\/10.1145\/3805712.3809536","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"}}]}}