{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:14:51Z","timestamp":1784178891284,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":65,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T00:00:00Z","timestamp":1745280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,28]]},"DOI":"10.1145\/3696410.3714606","type":"proceedings-article","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T22:52:18Z","timestamp":1745362338000},"page":"2787-2798","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5737-3594","authenticated-orcid":false,"given":"Jin","family":"Li","sequence":"first","affiliation":[{"name":"University of Technology Sydney, Sydney, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1133-9379","authenticated-orcid":false,"given":"Shoujin","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1037-1361","authenticated-orcid":false,"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4485-6743","authenticated-orcid":false,"given":"Shui","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4971-8729","authenticated-orcid":false,"given":"Fang","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,4,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3658596"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3361474"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080797"},{"key":"e_1_3_2_1_4_1","first-page":"288","article-title":"Ambient Diffusion: Learning Clean Distributions from Corrupted Data","volume":"36","author":"Daras Giannis","year":"2023","unstructured":"Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, and Adam R. Klivans. 2023. Ambient Diffusion: Learning Clean Distributions from Corrupted Data. In Advances in Neural Information Processing Systems, Vol. 36. 288--313.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3407190"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3594871"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the International Conference on Artificial Intelligence and Statistics","volume":"15","author":"Glorot Xavier","year":"2011","unstructured":"Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011. Deep Sparse Rectifier Neural Networks. In Proceedings of the International Conference on Artificial Intelligence and Statistics, Vol. 15. 315--323."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3262784"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28688"},{"key":"e_1_3_2_1_10_1","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence. 144--150","author":"He Ruining","unstructured":"Ruining He and Julian J. McAuley. 2016. VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. In Proceedings of the AAAI Conference on Artificial Intelligence. 144--150."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_12_1","first-page":"6840","article-title":"Denoising Diffusion Probabilistic Models","volume":"33","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising Diffusion Probabilistic Models. In Advances in Neural Information Processing Systems, Vol. 33. 6840--6851.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_13_1","volume-title":"RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection. CoRR","author":"Huang Liting","year":"2024","unstructured":"Liting Huang, Zhihao Zhang, Yiran Zhang, Xiyue Zhou, and Shoujin Wang. 2024. RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection. CoRR, Vol. abs\/2406.04906 (2024)."},{"key":"e_1_3_2_1_14_1","volume-title":"DiffMM: Multi-Modal Diffusion Model for Recommendation. CoRR","author":"Jiang Yangqin","year":"2024","unstructured":"Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, and Chao Huang. 2024. DiffMM: Multi-Modal Diffusion Model for Recommendation. CoRR, Vol. abs\/2406.11781 (2024)."},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the International Conference on Learning Representations.","author":"Diederik","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In Proceedings of the International Conference on Learning Representations."},{"key":"e_1_3_2_1_16_1","volume-title":"Aggarwal","author":"Li Jin","year":"2024","unstructured":"Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, and Charu C. Aggarwal. 2024. Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR, Vol. abs\/2402.08241 (2024)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591739"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462966"},{"key":"e_1_3_2_1_19_1","first-page":"264","article-title":"Foundations & Trends in Multimodal Machine Learning","volume":"56","author":"Liang Paul Pu","year":"2024","unstructured":"Paul Pu Liang, Amir Zadeh, and Louis-Philippe Morency. 2024. Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions. Comput. Surveys, Vol. 56, 10 (2024), 264.","journal-title":"Principles, Challenges, and Open Questions. Comput. Surveys"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612362"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3695461"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3615134"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671473"},{"key":"e_1_3_2_1_24_1","first-page":"2634","article-title":"Efficient and Effective Regularized Incomplete Multi-View Clustering","volume":"43","author":"Liu Xinwang","year":"2021","unstructured":"Xinwang Liu, Miaomiao Li, Chang Tang, Jingyuan Xia, Jian Xiong, Li Liu, Marius Kloft, and En Zhu. 2021. Efficient and Effective Regularized Incomplete Multi-View Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 43, 8 (2021), 2634--2646.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671743"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28736"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2024\/251"},{"key":"e_1_3_2_1_28_1","volume-title":"Multimodal Conditioned Diffusion Model for Recommendation. In Companion Proceedings of the ACM Web Conference. 1733--1740","author":"Ma Haokai","year":"2024","unstructured":"Haokai Ma, Yimeng Yang, Lei Meng, Ruobing Xie, and Xiangxu Meng. 2024c. Multimodal Conditioned Diffusion Model for Recommendation. In Companion Proceedings of the ACM Web Conference. 1733--1740."},{"key":"e_1_3_2_1_29_1","volume-title":"Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach. CoRR","author":"Malitesta Daniele","year":"1984","unstructured":"Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Fragkiskos D. Malliaros, and Tommaso Di Noia. 2024. Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach. CoRR, Vol. abs\/2403.19841 (2024)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"J Pearl. 2009. Causality. Cambridge university press.","DOI":"10.1017\/CBO9780511803161"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3624475"},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the Conference on Uncertainty in Artificial Intelligence. 452--461","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian Personalized Ranking from Implicit Feedback. In Proceedings of the Conference on Uncertainty in Artificial Intelligence. 452--461."},{"key":"e_1_3_2_1_33_1","first-page":"234","article-title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","volume":"9351","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. In Medical Image Computing and Computer-Assisted Intervention, Vol. 9351. 234--241.","journal-title":"Medical Image Computing and Computer-Assisted Intervention"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3648156"},{"key":"e_1_3_2_1_35_1","volume-title":"Proceedings of the International Conference on Learning Representations.","author":"Song Jiaming","year":"2021","unstructured":"Jiaming Song, Chenlin Meng, and Stefano Ermon. 2021. Denoising Diffusion Implicit Models. In Proceedings of the International Conference on Learning Representations."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583321"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3266423"},{"key":"e_1_3_2_1_38_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is All You Need. In Advances in Neural Information Processing Systems. 5998--6008."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1373"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331210"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3542916"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671944"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-023-00404-w"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3627826"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532075"},{"key":"e_1_3_2_1_46_1","first-page":"17117","article-title":"Incomplete Multimodality-Diffused Emotion Recognition","volume":"36","author":"Wang Yuanzhi","year":"2023","unstructured":"Yuanzhi Wang, Yong Li, and Zhen Cui. 2023a. Incomplete Multimodality-Diffused Emotion Recognition. In Advances in Neural Information Processing Systems, Vol. 36. 17117--17128.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467289"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583206"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413556"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351034"},{"key":"e_1_3_2_1_51_1","first-page":"39957","article-title":"AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation","volume":"36","author":"Wu Tong","year":"2023","unstructured":"Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, and Weizhu Chen. 2023a. AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. In Advances in Neural Information Processing Systems, Vol. 36. 39957--39974.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_52_1","volume-title":"ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks. CoRR","author":"Wu Zhangkai","year":"2024","unstructured":"Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, and Longbing Cao. 2024. ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks. CoRR, Vol. abs\/2405.15268 (2024)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612709"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583336"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657719"},{"key":"e_1_3_2_1_56_1","first-page":"24247","article-title":"Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion","volume":"36","author":"Yang Zhengyi","year":"2023","unstructured":"Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, and Xiangnan He. 2023. Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. In Advances in Neural Information Processing Systems, Vol. 36. 24247--24261.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_57_1","volume-title":"LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation. CoRR","author":"Yu Penghang","year":"2023","unstructured":"Penghang Yu, Zhiyi Tan, Guanming Lu, and Bing-Kun Bao. 2023. LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation. CoRR, Vol. abs\/2309.15363 (2023)."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01866"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475259"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645553"},{"key":"e_1_3_2_1_61_1","volume-title":"A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions. CoRR","author":"Zhou Hongyu","year":"2023","unstructured":"Hongyu Zhou, Xin Zhou, Zhiwei Zeng, Lingzi Zhang, and Zhiqi Shen. 2023b. A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions. CoRR, Vol. abs\/2302.04473 (2023)."},{"key":"e_1_3_2_1_62_1","volume-title":"MMRec: Simplifying Multimodal Recommendation. In ACM Multimedia Asia Workshops. 6:1--6:2.","author":"Zhou Xin","year":"2023","unstructured":"Xin Zhou. 2023. MMRec: Simplifying Multimodal Recommendation. In ACM Multimedia Asia Workshops. 6:1--6:2."},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611943"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583251"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01211"}],"event":{"name":"WWW '25: The ACM Web Conference 2025","location":"Sydney NSW Australia","acronym":"WWW '25","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714606","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696410.3714606","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:34Z","timestamp":1750295914000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714606"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,22]]},"references-count":65,"alternative-id":["10.1145\/3696410.3714606","10.1145\/3696410"],"URL":"https:\/\/doi.org\/10.1145\/3696410.3714606","relation":{},"subject":[],"published":{"date-parts":[[2025,4,22]]},"assertion":[{"value":"2025-04-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}