{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:14:36Z","timestamp":1757542476660,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819755547"},{"type":"electronic","value":"9789819755554"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-97-5555-4_4","type":"book-chapter","created":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T05:38:20Z","timestamp":1736573900000},"page":"51-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Reducing Interaction Noise for Sequential Recommendation via Robust Interests"],"prefix":"10.1007","author":[{"given":"Yiyuan","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Beihong","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Beibei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Weijiang","family":"Lai","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Xiang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,12]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Chen, J., Wu, J., Wu, J., Zhou, S., Cao, X., He, X.: Adap-tau: Adaptively modulating embedding magnitude for recommendation (Feb 2023)","DOI":"10.1145\/3543507.3583363"},{"key":"4_CR2","unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning. pp. 1597\u20131607 (2020)"},{"key":"4_CR3","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":"4_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Fan, H., Wu, Y., Xie, S., Girshick, R.: Momentum contrast for unsupervised visual representation learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 9729\u20139738 (2020)","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"4_CR5","unstructured":"Hidasi, B., Karatzoglou, A., Baltrunas, L., Tikk, D.: Session-based recommendations with recurrent neural networks. In: Proceedings of the 4th International Conference on Learning Representations (2016)"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Kang, W.C., McAuley, J.: Self-attentive sequential recommendation. In: Proceedings of the IEEE International Conference on Data Mining. pp. 197\u2013206 (2018)","DOI":"10.1109\/ICDM.2018.00035"},{"key":"4_CR7","unstructured":"Khosla, P., Teterwak, P., Wang, C., Sarna, A., Tian, Y., Isola, P., Maschinot, A., Liu, C., Krishnan, D.: Supervised contrastive learning. In: Advances in Neural Information Processing Systems. pp. 18661\u201318673 (2020)"},{"issue":"7","key":"4_CR8","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1145\/3535335","volume":"65","author":"W Krichene","year":"2022","unstructured":"Krichene, W., Rendle, S.: On sampled metrics for item recommendation. Communications of the ACM 65(7), 75\u201383 (2022)","journal-title":"Communications of the ACM"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Li, B., Jin, B., Song, J., Yu, Y., Zheng, Y., Zhuo, W.: Improving micro-video recommendation via contrastive multiple interests. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 2377\u20132381 (2022)","DOI":"10.1145\/3477495.3531861"},{"key":"4_CR10","unstructured":"Li, J., Zhou, P., Xiong, C., Hoi, S.: Prototypical contrastive learning of unsupervised representations. In: Proceedings of the International Conference on Learning Representations (2020)"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"Li, X., Sun, A., Zhao, M., Yu, J., Zhu, K., Jin, D., Yu, M., Yu, R.: Multi-intention oriented contrastive learning for sequential recommendation. In: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining. pp. 411\u2013419 (2023)","DOI":"10.1145\/3539597.3570411"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Q., Zeng, Y., Mokhosi, R., Zhang, H.: Stamp: short-term attention\/memory priority model for session-based recommendation. In: Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. pp. 1831\u20131839 (2018)","DOI":"10.1145\/3219819.3219950"},{"key":"4_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Z., Chen, Y., Li, J., Yu, P.S., McAuley, J., Xiong, C.: Contrastive self-supervised sequential recommendation with robust augmentation. arXiv preprint arXiv:2108.06479 (2021)","DOI":"10.1145\/3485447.3512090"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Ma, J., Zhou, C., Yang, H., Cui, P., Wang, X., Zhu, W.: Disentangled self-supervision in sequential recommenders. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 483\u2013491 (2020)","DOI":"10.1145\/3394486.3403091"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Qiu, R., Huang, Z., Yin, H., Wang, Z.: Contrastive learning for representation degeneration problem in sequential recommendation. In: Proceedings of the 15th ACM International Conference on Web Search and Data Mining. pp. 813\u2013823 (2022)","DOI":"10.1145\/3488560.3498433"},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Sun, F., Liu, J., Wu, J., Pei, C., Lin, X., Ou, W., Jiang, P.: Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management. p. 1441-1450 (2019)","DOI":"10.1145\/3357384.3357895"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Tang, J., Wang, K.: Personalized top-n sequential recommendation via convolutional sequence embedding. In: Proceedings of the 11th ACM International Conference on Web Search and Data Mining. pp. 565\u2013573 (2018)","DOI":"10.1145\/3159652.3159656"},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"Xie, X., Sun, F., Liu, Z., Wu, S., Gao, J., Zhang, J., Ding, B., Cui, B.: Contrastive learning for sequential recommendation. In: Proceedings of the 38th IEEE International Conference on Data Engineering. pp. 1259\u20131273 (2022)","DOI":"10.1109\/ICDE53745.2022.00099"},{"key":"4_CR19","doi-asserted-by":"crossref","unstructured":"Yu, Y., Jin, B., Song, J., Li, B., Zheng, Y., Zhuo, W.: Improving micro-video recommendation by controlling position bias (2022)","DOI":"10.1007\/978-3-031-26387-3_31"},{"key":"4_CR20","doi-asserted-by":"crossref","unstructured":"Zhou, K., Yu, H., Zhao, W.X., Wen, J.R.: Filter-enhanced mlp is all you need for sequential recommendation. In: Proceedings of the ACM web conference 2022. pp. 2388\u20132399 (2022)","DOI":"10.1145\/3485447.3512111"}],"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\/978-981-97-5555-4_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T06:03:21Z","timestamp":1736575401000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5555-4_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819755547","9789819755554"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5555-4_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"12 January 2025","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":"Gifu","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2024a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dasfaa2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}