{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T05:49:18Z","timestamp":1785908958507,"version":"3.56.0"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012554","name":"Foundation for Distinguished Young Talents in Higher Education of Henan","doi-asserted-by":"publisher","award":["252300421227"],"award-info":[{"award-number":["252300421227"]}],"id":[{"id":"10.13039\/501100012554","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102369"],"award-info":[{"award-number":["62102369"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.inffus.2026.104556","type":"journal-article","created":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T06:47:27Z","timestamp":1781333247000},"page":"104556","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Multimodal generative sequential recommendation with adaptive contrastive learning"],"prefix":"10.1016","volume":"136","author":[{"given":"Chang","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Long","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengyao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4722-4226","authenticated-orcid":false,"given":"Bin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.inffus.2026.104556_bib0001","article-title":"Adversarial contrastive collaborative filtering","author":"Wu","year":"2026","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.inffus.2026.104556_bib0002","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.ins.2020.06.046","article-title":"BSPR: basket-sensitive personalized ranking for product recommendation","volume":"541","author":"Wu","year":"2020","journal-title":"Inf. Sci."},{"key":"10.1016\/j.inffus.2026.104556_bib0003","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.1109\/TKDE.2020.2991793","article-title":"Modeling product\u2019s visual and functional characteristics for recommender systems","volume":"34","author":"Wu","year":"2022","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.inffus.2026.104556_bib0004","series-title":"Proceedings of the 2018 IEEE International Conference on Data Mining","first-page":"197","article-title":"Self-attentive sequential recommendation","author":"Kang","year":"2018"},{"key":"10.1016\/j.inffus.2026.104556_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119510","article-title":"Graph-coupled time interval network for sequential recommendation","volume":"648","author":"Wu","year":"2023","journal-title":"Inf. Sci."},{"key":"10.1016\/j.inffus.2026.104556_bib0006","series-title":"Proceedings of the 19th International Conference on World Wide Web","first-page":"811","article-title":"Factorizing personalized Markov chains for next-basket recommendation","author":"Rendle","year":"2010"},{"key":"10.1016\/j.inffus.2026.104556_bib0007","series-title":"Proceedings of the International Conference on Learning Representations","first-page":"1","article-title":"Session-based recommendations with recurrent neural networks","author":"Hidasi","year":"2016"},{"key":"10.1016\/j.inffus.2026.104556_bib0008","series-title":"Proceedings of the 11th ACM International Conference on Web Search and Data Mining","first-page":"565","article-title":"Personalized top-N sequential recommendation via convolutional sequence embedding","author":"Tang","year":"2018"},{"key":"10.1016\/j.inffus.2026.104556_bib0009","series-title":"Advances in Neural Information Processing Systems","first-page":"10299","article-title":"Recommender systems with generative retrieval","volume":"36","author":"Rajput","year":"2023"},{"key":"10.1016\/j.inffus.2026.104556_bib0010","unstructured":"J. Deng, S. Wang, K. Cai, L. Ren, Q. Hu, W. Ding, Q. Luo, G. Zhou, Onerec: unifying retrieve and rank with generative recommender and iterative preference alignment, 2025. arXiv preprint arXiv: 2502.18965."},{"key":"10.1016\/j.inffus.2026.104556_bib0011","unstructured":"B. Zheng, H. Lu, Y. Chen, W.X. Zhao, J.-R. Wen, Universal item tokenization for transferable generative recommendation, 2025. arXiv preprint arXiv: 2504.04405."},{"key":"10.1016\/j.inffus.2026.104556_bib0012","unstructured":"H. Liu, Y. Wei, X. Song, W. Guan, Y.-F. Li, L. Nie, MMGRec: multimodal generative recommendation with transformer model, arXiv preprint arXiv: 2404.16555. 2024."},{"key":"10.1016\/j.inffus.2026.104556_bib0013","series-title":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"1552","article-title":"Intent-aware diffusion with contrastive learning for sequential recommendation","author":"Qu","year":"2025"},{"key":"10.1016\/j.inffus.2026.104556_bib0014","series-title":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining","first-page":"1913","article-title":"DimCL: dimension-aware augmentation in contrastive learning for recommendation","author":"Zhang","year":"2025"},{"key":"10.1016\/j.inffus.2026.104556_bib0015","series-title":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","first-page":"843","article-title":"Adaptive multi-modalities fusion in sequential recommendation systems","author":"Hu","year":"2023"},{"key":"10.1016\/j.inffus.2026.104556_bib0016","series-title":"Proceedings of the 29th ACM International Conference on Multimedia","first-page":"3872","article-title":"Mining latent structures for multimedia recommendation","author":"Zhang","year":"2021"},{"key":"10.1016\/j.inffus.2026.104556_bib0017","series-title":"Proceedings of the ACM on Web Conference 2025","first-page":"3672","article-title":"Hierarchical time-aware mixture of experts for multi-modal sequential recommendation","author":"Zhang","year":"2025"},{"key":"10.1016\/j.inffus.2026.104556_bib0018","series-title":"Multi-way cascade-attention network for multi-modal sequential recommendation","first-page":"1","author":"Wu","year":"2026"},{"key":"10.1016\/j.inffus.2026.104556_bib0019","series-title":"Proceedings of the 2023 International Joint Conference on Neural Networks","first-page":"1","article-title":"Cross-modal content inference and feature enrichment for cold-start recommendation","author":"Ma","year":"2023"},{"key":"10.1016\/j.inffus.2026.104556_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101989","article-title":"Prompt-based and weak-modality enhanced multimodal recommendation","volume":"101","author":"Dong","year":"2024","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.inffus.2026.104556_bib0021","series-title":"Proceedings of the 31st ACM International Conference on Multimedia","first-page":"935","article-title":"A tale of two graphs: freezing and denoising graph structures for multimodal recommendation","author":"Zhou","year":"2023"},{"key":"10.1016\/j.inffus.2026.104556_bib0022","series-title":"Proceedings of the 37th International Conference on Machine Learning","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"Chen","year":"2020"},{"key":"10.1016\/j.inffus.2026.104556_bib0023","series-title":"Proceedings of the 2022 IEEE 38th International Conference on Data Engineering","first-page":"1259","article-title":"Contrastive learning for sequential recommendation","author":"Xie","year":"2022"},{"key":"10.1016\/j.inffus.2026.104556_bib0024","series-title":"Proceedings of the 29th ACM International Conference on Information and Knowledge Management","first-page":"1893","article-title":"S3-rec: self-supervised learning for sequential recommendation with mutual information maximization","author":"Zhou","year":"2020"},{"key":"10.1016\/j.inffus.2026.104556_bib0025","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/MC.2009.263","article-title":"Matrix factorization techniques for recommender systems","volume":"42","author":"Koren","year":"2009","journal-title":"Computer"},{"key":"10.1016\/j.inffus.2026.104556_bib0026","series-title":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"639","article-title":"LightGCN: simplifying and powering graph convolution network for recommendation","author":"He","year":"2020"},{"key":"10.1016\/j.inffus.2026.104556_bib0027","series-title":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","first-page":"1441","article-title":"BERT4Rec: sequential recommendation with bidirectional encoder representations from transformer","author":"Sun","year":"2019"},{"key":"10.1016\/j.inffus.2026.104556_bib0028","series-title":"Proceedings of the ACM Web Conference 2023","first-page":"1109","article-title":"MMMLP: multi-modal multilayer perceptron for sequential recommendations","author":"Liang","year":"2023"},{"key":"10.1016\/j.inffus.2026.104556_bib0029","series-title":"Proceedings of the 32nd ACM International Conference on Multimedia","first-page":"7591","article-title":"DiffMM: multi-modal diffusion model for recommendation","author":"Jiang","year":"2024"},{"key":"10.1016\/j.inffus.2026.104556_bib0030","unstructured":"Z. Liu, Y. Chen, J. Li, P.S. Yu, J. Mcauley, C. Xiong, Contrastive self-supervised sequential recommendation with robust augmentation, arXiv preprint arXiv: 2108.06479. 2021."},{"key":"10.1016\/j.inffus.2026.104556_bib0031","series-title":"Proceedings of the ACM Web Conference","first-page":"2172","article-title":"Intent contrastive learning for sequential recommendation","author":"Chen","year":"2022"},{"key":"10.1016\/j.inffus.2026.104556_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.122060","article-title":"Graph gating-mixer for sequential recommendation","volume":"238","author":"Wu","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.inffus.2026.104556_bib0033","series-title":"Proceedings of the 41st International Conference on Machine Learning","first-page":"58484","article-title":"Actions speak louder than words: trillion-parameter sequential transducers for generative recommendations","author":"Zhai","year":"2024"},{"key":"10.1016\/j.inffus.2026.104556_bib0034","series-title":"Proceedings of the 30th AAAI Conference on Artificial Intelligence","first-page":"144","article-title":"VBPR: visual bayesian personalized ranking from implicit feedback","author":"He","year":"2016"},{"key":"10.1016\/j.inffus.2026.104556_bib0035","series-title":"Proceedings of the 27th ACM International Conference on Multimedia","first-page":"1437","article-title":"MMGCN: multi-modal graph convolution network for personalized recommendation of micro-video","author":"Wei","year":"2019"},{"key":"10.1016\/j.inffus.2026.104556_bib0036","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1109\/TMM.2021.3059508","article-title":"Heterogeneous hierarchical feature aggregation network for personalized micro-video recommendation","volume":"24","author":"Cai","year":"2022","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.inffus.2026.104556_bib0037","series-title":"Proceedings of the ACM Web Conference 2023","first-page":"845","article-title":"Bootstrap latent representations for multi-modal recommendation","author":"Zhou","year":"2023"},{"key":"10.1016\/j.inffus.2026.104556_bib0038","series-title":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","first-page":"110","article-title":"Multi-modal mixture of experts representation learning for sequential recommendation","author":"Bian","year":"2023"},{"key":"10.1016\/j.inffus.2026.104556_bib0039","series-title":"Proceedings of the 16th ACM Conference on Recommender Systems","first-page":"299","article-title":"Recommendation as language processing (RLP): a unified pretrain, personalized prompt & predict paradigm (P5)","author":"Geng","year":"2022"},{"key":"10.1016\/j.inffus.2026.104556_bib0040","series-title":"Proceedings of the 15th ACM International Conference on Web Search and Data Mining","first-page":"813","article-title":"Contrastive learning for representation degeneration problem in sequential recommendation","author":"Qiu","year":"2022"},{"key":"10.1016\/j.inffus.2026.104556_bib0041","series-title":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"89","article-title":"Meta-optimized contrastive learning for sequential recommendation","author":"Qin","year":"2023"},{"key":"10.1016\/j.inffus.2026.104556_bib0042","series-title":"Advances in Neural Information Processing Systems","first-page":"21831","article-title":"Transformer memory as a differentiable search index","volume":"35","author":"Tay","year":"2022"},{"key":"10.1016\/j.inffus.2026.104556_bib0043","series-title":"Proceedings of the International Conference on Learning Representations","article-title":"Autoregressive entity retrieval","author":"Cao","year":"2021"},{"key":"10.1016\/j.inffus.2026.104556_bib0044","series-title":"Advances in Neural Information Processing Systems","first-page":"31668","article-title":"Autoregressive search engines: generating substrings as document identifiers","volume":"35","author":"Bevilacqua","year":"2022"},{"key":"10.1016\/j.inffus.2026.104556_bib0045","unstructured":"Z. Cui, J. Ma, C. Zhou, J. Zhou, H. Yang, M6-Rec: generative pretrained language models are open-ended recommender systems, arXiv preprint arXiv: 2205.08084. 2022."},{"issue":"3","key":"10.1016\/j.inffus.2026.104556_bib0046","first-page":"1","article-title":"EGCL: an effective and efficient graph contrastive learning framework for social recommendation","volume":"44","author":"Wu","year":"2026","journal-title":"ACM Trans. Inf. Syst."},{"key":"10.1016\/j.inffus.2026.104556_bib0047","doi-asserted-by":"crossref","first-page":"4039","DOI":"10.1109\/TSMC.2023.3242308","article-title":"Graph-augmented co-attention model for socio-sequential recommendation","volume":"53","author":"Wu","year":"2023","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"10.1016\/j.inffus.2026.104556_bib0048","series-title":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"1593","article-title":"Multi-modal multi-behavior sequential recommendation with conditional diffusion-based feature denoising","author":"Cui","year":"2025"},{"key":"10.1016\/j.inffus.2026.104556_bib0049","article-title":"Deep learning-stochastic ensemble for RUL prediction and predictive maintenance with dynamic mission abort policies","volume":"259","author":"Faizanbasha","year":"2025","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"10.1016\/j.inffus.2026.104556_bib0050","article-title":"Deep learning ensemble for dynamic burn-in optimization with precise remaining useful life prediction for lithium-ion batteries","volume":"548","author":"Faizanbasha","year":"2026","journal-title":"Electrochim. Acta"}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526004343?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526004343?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T05:22:20Z","timestamp":1785907340000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253526004343"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":50,"alternative-id":["S1566253526004343"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104556","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multimodal generative sequential recommendation with adaptive contrastive learning","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104556","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104556"}}