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Session-based recommendations with recurrent neural networks. arXiv:151106939. 2015."},{"key":"ref5","series-title":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","first-page":"843","article-title":"Recurrent neural networks with top-k gains for session-based recommendations","author":"Hidasi","year":"2018"},{"key":"ref6","series-title":"Proceedings of the Eleventh 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":"ref7","series-title":"Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining","first-page":"582","article-title":"A simple convolutional generative network for next item recommendation","author":"Yuan","year":"2019"},{"key":"ref8","series-title":"Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining","first-page":"108","article-title":"Sequential recommendation with user memory networks","author":"Chen","year":"2018"},{"key":"ref9","series-title":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","first-page":"1419","article-title":"Neural attentive session-based recommendation","author":"Li","year":"2017"},{"key":"ref10","series-title":"2018 IEEE International Conference on Data Mining (ICDM)","first-page":"197","article-title":"Self-attentive sequential recommendation","author":"Kang","year":"2018"},{"key":"ref11","series-title":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","first-page":"1893","article-title":"S3-Rec: self-supervised learning for sequential recommendation with mutual information maximization","author":"Zhou","year":"2020"},{"key":"ref12","first-page":"12116","article-title":"Do vision transformers see like convolutional neural networks?","volume":"34","author":"Raghu","year":"2021","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref13","unstructured":"Park N, Kim S. How do vision transformers work? arXiv:220206709. 2022."},{"key":"ref14","series-title":"Proceedings of the 9th ACM Conference on Recommender Systems","first-page":"211","article-title":"Adaptation and evaluation of recommendations for short-term shopping goals","author":"Jannach","year":"2015"},{"key":"ref15","series-title":"Proceedings of the 30th ACM International Conference on Information & Knowledge Management","first-page":"3088","article-title":"Locker: locally constrained self-attentive sequential recommendation","author":"He","year":"2021"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.neucom.2021.11.030","article-title":"MPAN: multi-parallel attention network for session-based recommendation","volume":"471","author":"Zang","year":"2022","journal-title":"Neurocomputing"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"171","DOI":"10.2478\/jaiscr-2024-0010","article-title":"Diarec: dynamic intention-aware recommendation with attention-based context-aware item attributes modeling","volume":"14","author":"Vaghari","year":"2024","journal-title":"J Artif Intell Soft Comput Res"},{"key":"ref18","series-title":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","first-page":"78","article-title":"Frequency enhanced hybrid attention network for sequential recommendation","author":"Du","year":"2023"},{"key":"ref19","series-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision","first-page":"3531","article-title":"Efficient attention: attention with linear complexities","author":"Shen","year":"2021"},{"key":"ref20","series-title":"Proceedings of the ACM Web Conference 2022","first-page":"2388","article-title":"Filter-enhanced MLP is all you need for sequential recommendation","author":"Zhou","year":"2022"},{"key":"ref21","first-page":"980","article-title":"Global filter networks for image classification","volume":"34","author":"Rao","year":"2021","journal-title":"Adv Neural Inf Proc Syst"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1109\/TASSP.1975.1162708","article-title":"Theory and application of digital signal processing","volume":"23","author":"Trick","year":"1975","journal-title":"IEEE Trans Acoust, Speech, Signal Process"},{"journal-title":"Continuous and discrete signals and systems","year":"1990","author":"Soliman","key":"ref23"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1090\/S0025-5718-1965-0178586-1","article-title":"An algorithm for the machine calculation of complex Fourier series","volume":"19","author":"Cooley","year":"1965","journal-title":"Math Comput"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1109\/JPROC.2004.840301","article-title":"The design and implementation of FFTW3","volume":"93","author":"Frigo","year":"2005","journal-title":"Proc IEEE"},{"key":"ref26","unstructured":"Ba JL. Layer normalization. arXiv:160706450. 2016."},{"key":"ref27","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref28","series-title":"Proceedings of the 13th International Conference on Web Search and Data Mining","first-page":"322","article-title":"Time interval aware self-attention for sequential recommendation","author":"Li","year":"2020"},{"key":"ref29","series-title":"Proceedings of the 10th ACM Conference on Recommender Systems","first-page":"241","article-title":"Parallel recurrent neural network architectures for feature-rich session-based recommendations","author":"Hidasi","year":"2016"},{"key":"ref30","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":"ref31","unstructured":"Devlin J. Bert: pre-training of deep bidirectional transformers for language understanding. arXiv:181004805. 2018."},{"key":"ref32","series-title":"Proceedings of the Fifteenth 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":"ref33","first-page":"8984","article-title":"An attentive inductive bias for sequential recommendation beyond the self-attention","volume":"38","author":"Shin","year":"2024","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref34","series-title":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","first-page":"1748","article-title":"On sampled metrics for item recommendation","author":"Krichene","year":"2020"},{"key":"ref35","series-title":"Proceedings of the 15th ACM Conference on Recommender Systems","first-page":"505","article-title":"A case study on sampling strategies for evaluating neural sequential item recommendation models","author":"Dallmann","year":"2021"},{"key":"ref36","doi-asserted-by":"crossref","unstructured":"Wang S, Hu L, Wang Y, Cao L, Sheng QZ, Orgun M. Sequential recommender systems: challenges, progress and prospects. arXiv:200104830. 2019.","DOI":"10.24963\/ijcai.2019\/883"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"117102","DOI":"10.1016\/j.eswa.2022.117102","article-title":"A unified hierarchical attention framework for sequential recommendation by fusing long and short-term preferences","volume":"201","author":"Du","year":"2022","journal-title":"Expert Syst Appl"},{"key":"ref38","first-page":"5492","author":"Tamkin","year":"2020","journal-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems"},{"key":"ref39","doi-asserted-by":"crossref","unstructured":"Lee-Thorp J, Ainslie J, Eckstein I, Ontanon S. FNet: mixing tokens with fourier transforms. arXiv:210503824. 2021.","DOI":"10.18653\/v1\/2022.naacl-main.319"},{"key":"ref40","doi-asserted-by":"crossref","unstructured":"Xu K, Qin M, Sun F, Wang Y, Chen YK, Ren F. 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