{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T07:03:11Z","timestamp":1768806191984,"version":"3.49.0"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61732008"],"award-info":[{"award-number":["61732008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772407"],"award-info":[{"award-number":["61772407"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006112","name":"Microsoft Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006112","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Pazhou Lab, Guangzhou"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tmm.2021.3097186","type":"journal-article","created":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T18:52:20Z","timestamp":1629831140000},"page":"3381-3391","source":"Crossref","is-referenced-by-count":28,"title":["Annular-Graph Attention Model for Personalized Sequential Recommendation"],"prefix":"10.1109","volume":"24","author":[{"given":"Junmei","family":"Hao","sequence":"first","affiliation":[{"name":"School of Electronics, and Information Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5213-1000","authenticated-orcid":false,"given":"Yujie","family":"Dun","sequence":"additional","affiliation":[{"name":"School of Information, and Communication, Xi’an Jiaotong Universitity, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4392-8450","authenticated-orcid":false,"given":"Guoshuai","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3873-3982","authenticated-orcid":false,"given":"Yuxia","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Electronics, and Information Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3173-6307","authenticated-orcid":false,"given":"Xueming","family":"Qian","sequence":"additional","affiliation":[{"name":"Key Laboratory for Intelligent Networks, and Network Security, Ministry of Education, and the Smiles Laboratory, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.168"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2945180"},{"key":"ref6","article-title":"Session-based recommendations with recurrent neural networks","volume-title":"ICLR, Conference Track Proceedings","author":"Hidasi","year":"2016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109877"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018719"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557029"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2966971"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2541160"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105849"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2846092"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2578726.2578751"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682809"},{"key":"ref17","first-page":"438","volume-title":"Proc. MM ACM","author":"Hidayati"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959182"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557072"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.16"},{"key":"ref21","first-page":"720","article-title":"Weighted low-rank approximations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Srebro"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/511"},{"key":"ref23","first-page":"2069","article-title":"Personalized ranking metric embedding for next new POI recommendation","volume-title":"Proc. IJCAI AAAI Press","author":"Feng"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052639"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186154"},{"key":"ref26","article-title":"Position and distance: Recommendation beyond matrix factorization","volume":"abs\/1802.04606","author":"Zhang","year":"2018"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109882"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273596"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018689"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3002531"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959180"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s13218-018-0560-x"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2912124"},{"key":"ref34","article-title":"A long-short demands-aware model for next-item recommendation","volume-title":"arXiv preprint:1903.00066","author":"Bai","year":"2019"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-017-0437-1"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.06.026"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2696825"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401134"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2928494"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2751140"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2894964"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.345"},{"key":"ref44","article-title":"Neural machine translation by jointly learning to align and translate","volume-title":"ICLR, Conf. Track Proc.","author":"Bahdanau","year":"2015"},{"key":"ref45","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst. 30: Annu. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313442"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/546"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080797"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220086"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401133"},{"key":"ref53","first-page":"2782","article-title":"Hashtag recommendation using attention-based convolutional neural network","volume-title":"Proc. IJCAI IJCAI\/AAAI Press","author":"Gong","year":"2016"},{"key":"ref54","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Conf. Track ICLR","author":"Kingma","year":"2015"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020579"},{"key":"ref56","first-page":"452","article-title":"BPR: Bayesian personalized ranking from implicit feedback","volume-title":"Proc. 25th Conf. Uncertainty Artif. Intell.","author":"Rendle","year":"2009"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0030"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9687854\/09485042.pdf?arnumber=9485042","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:41:01Z","timestamp":1705016461000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9485042\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/tmm.2021.3097186","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}