{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T06:05:33Z","timestamp":1780380333047,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819698172","type":"print"},{"value":"9789819698189","type":"electronic"}],"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\/978-981-96-9818-9_14","type":"book-chapter","created":{"date-parts":[[2025,7,19]],"date-time":"2025-07-19T12:24:00Z","timestamp":1752927840000},"page":"161-173","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Filtering with Time-Frequency Analysis: An Adaptive and Lightweight Model for Sequential Recommender Systems Based on Discrete Wavelet Transform"],"prefix":"10.1007","author":[{"given":"Sheng","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingxi","family":"Ge","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiuyi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanli","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guanjin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangming","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,20]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Arfaoui, S., Mabrouk, A.B., Cattani, C.: Wavelet Analysis: Basic Concepts and Applications. Chapman and hall\/CRC (2021)","DOI":"10.1201\/9781003096924"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Boka, T.F., Niu, Z., Neupane, R.B.: A survey of sequential recommendation systems: techniques, evaluation, and future directions. Inf. Syst., 102427 (2024)","DOI":"10.1016\/j.is.2024.102427"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Q., Zhao, H., Li, W., Huang, P., Ou, W.: Behavior sequence transformer for e-commerce recommendation in Alibaba. In: Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data, pp. 1\u20134 (2019)","DOI":"10.1145\/3326937.3341261"},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Du, X., et al.: Frequency enhanced hybrid attention network for sequential recommendation. In: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 78\u201388 (2023)","DOI":"10.1145\/3539618.3591689"},{"key":"14_CR5","doi-asserted-by":"publisher","first-page":"58869","DOI":"10.1109\/ACCESS.2022.3179517","volume":"10","author":"T Guo","year":"2022","unstructured":"Guo, T., Zhang, T., Lim, E., Lopez-Benitez, M., Ma, F., Yu, L.: A review of wavelet analysis and its applications: challenges and opportunities. IEEE Access 10, 58869\u201358903 (2022)","journal-title":"IEEE Access"},{"issue":"27","key":"14_CR6","doi-asserted-by":"publisher","first-page":"41539","DOI":"10.1007\/s11042-023-15127-0","volume":"82","author":"A Halidou","year":"2023","unstructured":"Halidou, A., Mohamadou, Y., Ari, A.A.A., Zacko, E.J.G.: Review of wavelet denoising algorithms. Multimedia Tools Appl. 82(27), 41539\u201341569 (2023)","journal-title":"Multimedia Tools Appl."},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"He, R., McAuley, J.: Fusing similarity models with markov chains for sparse sequential recommendation. In: 2016 IEEE 16th International Conference on Data Mining (ICDM), pp. 191\u2013200. IEEE (2016)","DOI":"10.1109\/ICDM.2016.0030"},{"key":"14_CR8","unstructured":"Huleihel, W., Pal, S., Shayevitz, O.: Learning user preferences in non-stationary environments. In: International Conference on Artificial Intelligence and Statistics, pp. 1432\u20131440. PMLR (2021)"},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Kang, W.C., McAuley, J.: Self-attentive sequential recommendation. In: 2018 IEEE International Conference on Data Mining (ICDM), pp. 197\u2013206. IEEE (2018)","DOI":"10.1109\/ICDM.2018.00035"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Krichene, W., Rendle, S.: On sampled metrics for item recommendation. In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 1748\u20131757 (2020)","DOI":"10.1145\/3394486.3403226"},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Lin, G., et al.: Mixed attention network for cross-domain sequential recommendation. In: Proceedings of the 17th ACM International Conference on Web Search and Data Mining, pp. 405\u2013413 (2024)","DOI":"10.1145\/3616855.3635801"},{"issue":"7","key":"14_CR12","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1109\/34.192463","volume":"11","author":"SG Mallat","year":"1989","unstructured":"Mallat, S.G.: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 11(7), 674\u2013693 (1989)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"14_CR13","unstructured":"Meyer, Y.: Wavelets and Operators, vol. 1, no. 37. Cambridge University Press (1992)"},{"key":"14_CR14","unstructured":"Park, N., Kim, S.: How do vision transformers work? arXiv preprint: arXiv:2202.06709 (2022)"},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Qiu, R., Huang, Z., Yin, H., Wang, Z.: Contrastive learning for representation de- generation problem in sequential recommendation. In: Proceedings of the Fifteenth ACM International Conference on Web Search And Data Mining, pp. 813\u2013823 (2022)","DOI":"10.1145\/3488560.3498433"},{"key":"14_CR16","unstructured":"Raghu, M., Unterthiner, T., Kornblith, S., Zhang, C., Dosovitskiy, A.: Do vision transformers see like convolutional neural networks? In: Advances in Neural Information Processing Systems, vol. 34, pp. 12116\u201312128 (2021)"},{"issue":"1","key":"14_CR17","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1186\/s40537-022-00592-5","volume":"9","author":"D Roy","year":"2022","unstructured":"Roy, D., Dutta, M.: A systematic review and research perspective on recommender systems. J. Big Data 9(1), 59 (2022)","journal-title":"J. Big Data"},{"key":"14_CR18","doi-asserted-by":"crossref","unstructured":"Shin, Y., Choi, J., Wi, H., Park, N.: An attentive inductive bias for sequential recommendation beyond the self-attention. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, pp. 8984\u20138992 (2024)","DOI":"10.1609\/aaai.v38i8.28747"},{"key":"14_CR19","doi-asserted-by":"crossref","unstructured":"Sun, F., et al.: BERT4Rec: sequential recommendation with bidirectional encoder representations from transformer. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 1441\u20131450 (2019)","DOI":"10.1145\/3357384.3357895"},{"key":"14_CR20","doi-asserted-by":"crossref","unstructured":"Tan, Y.K., Xu, X., Liu, Y.: Improved recurrent neural networks for session-based recommendations. In: Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, pp. 17\u201322 (2016)","DOI":"10.1145\/2988450.2988452"},{"key":"14_CR21","doi-asserted-by":"crossref","unstructured":"Tang, J., Wang, K.: Personalized top-n sequential recommendation via convolutional sequence embedding. In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, pp. 565\u2013573 (2018)","DOI":"10.1145\/3159652.3159656"},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Wang, S., Hu, L., Wang, Y., Cao, L., Sheng, Q.Z., Orgun, M.: Sequential recommender systems: challenges, progress and prospects. arXiv preprint: arXiv:2001.04830 (2019)","DOI":"10.24963\/ijcai.2019\/883"},{"key":"14_CR23","doi-asserted-by":"crossref","unstructured":"Xu, K., Qin, M., Sun, F., Wang, Y., Chen, Y.K., Ren, F.: Learning in the frequency domain. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1740\u20131749 (2020)","DOI":"10.1109\/CVPR42600.2020.00181"},{"key":"14_CR24","doi-asserted-by":"crossref","unstructured":"Zhou, K., et al.: S3-Rec: self-supervised learning for sequential recommendation with mutual information maximization. In: CIKM \u201820: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, 19\u201323 October 2020, pp. 1893\u20131902. ACM (2020)","DOI":"10.1145\/3340531.3411954"},{"key":"14_CR25","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","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-9818-9_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T05:50:18Z","timestamp":1780379418000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-9818-9_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819698172","9789819698189"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-9818-9_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"20 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}