{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T13:49:37Z","timestamp":1754488177482,"version":"3.37.3"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2232021D-25"],"award-info":[{"award-number":["2232021D-25"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["19ZR1401900"],"award-info":[{"award-number":["19ZR1401900"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012543","name":"Shanghai Science and Technology Innovation Action Plan Project","doi-asserted-by":"publisher","award":["19511101802"],"award-info":[{"award-number":["19511101802"]}],"id":[{"id":"10.13039\/100012543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534103","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["Modeling Long- and Short-Term User Behaviors for Sequential Recommendation with Deep Neural Networks"],"prefix":"10.1109","author":[{"given":"Cairong","family":"Yan","sequence":"first","affiliation":[]},{"given":"Yiwei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yanting","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Zijian","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Pengwei","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109882"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330984"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"ref14","first-page":"452","article-title":"BPR: Bayesian personalized ranking from implicit feedback","author":"rendle","year":"0","journal-title":"Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0030"},{"key":"ref17","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref18","article-title":"Next item recommendation with self-attentive metric learning","volume":"9","author":"zhang","year":"0","journal-title":"33rd AAAI Conference on Artificial Intelligence"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/883"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358113"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109900"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018689"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357818"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3079628.3079670"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271761"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109896"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"ref9","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380002"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref22","first-page":"5999","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proceedings of Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/W14-4012"},{"key":"ref24","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proceedings of 3rd International Conference on Learning Representations (ICLR)"},{"key":"ref23","article-title":"Layer normalization","author":"ba","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412247"},{"key":"ref25","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534103.pdf?arnumber=9534103","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:45:52Z","timestamp":1652197552000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534103\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534103","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}