{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T08:02:00Z","timestamp":1767340920331,"version":"3.48.0"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819541546"},{"type":"electronic","value":"9789819541553"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-4155-3_21","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:59:32Z","timestamp":1767340772000},"page":"331-340","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Diffusion Based Data Augmentation for\u00a0Multi-behavior Sequential Recommendation"],"prefix":"10.1007","author":[{"given":"Tingting","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhilong","family":"Shan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengyang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyong","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,3]]},"reference":[{"key":"21_CR1","doi-asserted-by":"crossref","unstructured":"Bowei, H., He, X., Zhang, Y., Tang, R., Ma, C.: Dynamically expandable graph convolution for streaming recommendation. In: Proceedings of the ACM Web Conference 2023, pp. 1457\u20131467 (2023)","DOI":"10.1145\/3543507.3583237"},{"key":"21_CR2","doi-asserted-by":"crossref","unstructured":"Yang, Y., Huang, C., Xia, L., et al.: Multi-behavior hypergraph-enhanced transformer for sequential recommendation. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 2263\u20132274 (2022)","DOI":"10.1145\/3534678.3539342"},{"key":"21_CR3","doi-asserted-by":"crossref","unstructured":"Zhou, P., et al.: Is contrastive learning necessary? A study of data augmentation vs contrastive learning in sequential recommendation. In: Proceedings of the ACM Web Conference 2024(WWW 2024), pp. 3854\u20133863 (2024)","DOI":"10.1145\/3589334.3645661"},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Bowei, H., He, X., Zhang, R., Zhang, Y., Tang, R., Ma, C.: Dynamic embedding size search with minimum regret for streaming recommender system. In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, pp. 741\u2013750 (2023)","DOI":"10.1145\/3583780.3615135"},{"key":"21_CR5","doi-asserted-by":"crossref","unstructured":"Bowei, H., Ma, C.: Interpretable triplet importance for personalized ranking. I:n Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, pp. 809\u2013818 (2024)","DOI":"10.1145\/3627673.3679536"},{"key":"21_CR6","doi-asserted-by":"crossref","unstructured":"Xiao, J., Pan, W., Ming, Z.: A generic behavior-aware data augmentation framework for sequential recommendation. In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1578\u20131588 (2024)","DOI":"10.1145\/3626772.3657682"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Liu, Z., Fan, Z., Wang, Y., Yu, P.S.: Augmenting sequential recommendation with pseudo-prior items via reversely pre-training transformer. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1608\u20131612 (2021)","DOI":"10.1145\/3404835.3463036"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Liu, Q., et al.: Diffusion augmentation for sequential recommendation. In: Proceedings of the 2023 ACM International Conference on Information and Knowledge Management, pp. 1576\u20131586 (2023)","DOI":"10.1145\/3583780.3615134"},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Yuan, E., Guo, W., He, Z., Guo, H., Liu, C., Tang, R.: Multi-behavior sequential transformer recommender. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1642\u20131652 (2022)","DOI":"10.1145\/3477495.3532023"},{"key":"21_CR10","unstructured":"Jiang, J., et al.: Improving sequential recommendations via bidirectional temporal data augmentation with pre-training. arXiv preprint arXiv: 2112.06460 (2024)"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Xie, X., et al.: Contrastive learning for sequential recommendation. In: IEEE 38th International Conference on Data Engineering, pp. 1259\u20131273 (2022)","DOI":"10.1109\/ICDE53745.2022.00099"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Wu, B., Cheng, Y., Yuan, H., Ma, Q.: When multi-behavior meets multi-interest: multi-behavior sequential recommendation with multi-interest self-supervised learning. In: IEEE 40th International Conference on Data Engineering, pp. 845\u2013858 (2024)","DOI":"10.1109\/ICDE60146.2024.00070"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Cui, Z., Wu, H., He, B., Cheng, J., Ma, C.: Context matters: enhancing sequential recommendation with context-aware diffusion-based contrastive learning. In: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, pp. 404\u2013414 (2024)","DOI":"10.1145\/3627673.3679655"},{"key":"21_CR14","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. In: Conference on Neural Information Processing Systems, pp. 6840\u20136851 (2020)"},{"key":"21_CR15","unstructured":"Li, W., et al.: DimeRec: a unified framework for enhanced sequential recommendation via generative diffusion models. arXiv preprint arXiv: 2408.12153 (2024)"},{"key":"21_CR16","unstructured":"Dang, Y., et al.: Data augmentation for sequential recommendation: a survey. arXiv preprint arXiv: abs\/2409.13545 (2024)"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Chen, Y., Liu, Z., Li, J., McAuley, J., Xiong, C.: Intent contrastive learning for sequential recommendation. In: Proceedings of the ACM Web Conference 2022, pp. 2172\u20132182 (2022)","DOI":"10.1145\/3485447.3512090"},{"key":"21_CR18","doi-asserted-by":"crossref","unstructured":"He, M., Pan, W., Ming, Z.: BAR: behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. In: Information Sciences, vol. 608, pp. 881\u2013899 (2022)","DOI":"10.1016\/j.ins.2022.06.084"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Liu, Q., Wu, S., Wang, L.: Multi-behavioral sequential prediction with recurrent log-bilinear model. IEEE Trans. Knowl. Data Eng. 29(6), 1254\u20131267 (2017)","DOI":"10.1109\/TKDE.2017.2661760"},{"key":"21_CR20","doi-asserted-by":"crossref","unstructured":"Zhou, M., Ding, Z., Tang, J., Yin, D.: Micro behaviors: a new perspective in e-commerce recommender systems. In: Proceedings of the 11th ACM International Conference on Web Search and Data Mining, pp.727\u2013735 (2018)","DOI":"10.1145\/3159652.3159671"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-4155-3_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:59:37Z","timestamp":1767340777000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-4155-3_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819541546","9789819541553"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-4155-3_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"3 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 May 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2025.github.io","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}