{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T05:53:30Z","timestamp":1777787610932,"version":"3.51.4"},"reference-count":79,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022ZD0119102"],"award-info":[{"award-number":["2022ZD0119102"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006207"],"award-info":[{"award-number":["62006207"]}],"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":["U20A20387"],"award-info":[{"award-number":["U20A20387"]}],"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":["62037001"],"award-info":[{"award-number":["62037001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Elite Scientists Sponsorship Program by China Association for Science and Technology","award":["2021QNRC001"],"award-info":[{"award-number":["2021QNRC001"]}]},{"name":"Zhejiang Province Natural Science Foundation","award":["LR19F020006"],"award-info":[{"award-number":["LR19F020006"]}]},{"name":"Zhejiang Province Natural Science Foundation","award":["LQ21F020020"],"award-info":[{"award-number":["LQ21F020020"]}]},{"name":"Project by Shanghai Artificial Intelligence (AI) Laboratory","award":["P22KS00111"],"award-info":[{"award-number":["P22KS00111"]}]},{"name":"Program of Zhejiang Province Science and Technology","award":["2022C01044"],"award-info":[{"award-number":["2022C01044"]}]},{"name":"Starry Night Science Fund of Zhejiang University Shanghai Institute for Advanced Study","award":["SN-ZJU-SIAS-0010"],"award-info":[{"award-number":["SN-ZJU-SIAS-0010"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/tcyb.2026.3651813","type":"journal-article","created":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T20:48:34Z","timestamp":1770238114000},"page":"2424-2437","source":"Crossref","is-referenced-by-count":0,"title":["Improving Music Recommendation With Fine-Grained Content-Based Behavior Retrieval"],"prefix":"10.1109","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-5796-2229","authenticated-orcid":false,"given":"Wenyan","family":"Fan","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Liu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0030-8289","authenticated-orcid":false,"given":"Shengyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jieming","family":"Zhu","sequence":"additional","affiliation":[{"name":"Huawei Noah’s Ark Laboratory, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengze","family":"Li","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xufeng","family":"Qian","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhou","family":"Zhao","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2231-4663","authenticated-orcid":false,"given":"Zhenhua","family":"Dong","sequence":"additional","affiliation":[{"name":"Huawei Noah’s Ark Laboratory, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruiming","family":"Tang","sequence":"additional","affiliation":[{"name":"Huawei Noah’s Ark Laboratory, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2139-8807","authenticated-orcid":false,"given":"Fei","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5352"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412223"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2984665"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3688188"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3640457.3691719"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3705328.3748020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412248"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/511"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467110"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412744"},{"key":"ref11","article-title":"End-to-end user behavior retrieval in click-through rateprediction model","author":"Chen","year":"2021","journal-title":"arXiv:2108.04468"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/bf00992696"},{"key":"ref13","first-page":"9508","article-title":"Learning with differentiable pertubed optimizers","volume-title":"Proc. NeurIPS","volume":"33","author":"Berthet"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481893"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512116"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i13.26911"},{"key":"ref17","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","volume-title":"Proc. NIPS","volume":"26","author":"Mikolov"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3604915.3608838"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3705328.3748139"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3705328.3748018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512111"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512066"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2507157.2507166"},{"key":"ref24","first-page":"2069","article-title":"Personalized ranking metric embedding for next new POI recommendation","volume-title":"Proc. IJCAI","author":"Feng"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-015-0417-y"},{"key":"ref27","article-title":"Session-based recommendations with recurrent neural networks","volume-title":"Proc. ICLR","author":"Hidasi"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914683"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109877"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109896"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271761"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512117"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512092"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11851"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/546"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512077"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512101"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i11.33323"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761395"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761433"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357814"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403344"},{"key":"ref45","first-page":"2440","article-title":"End-to-end memory networks","volume-title":"Proc. NIPS","volume":"28","author":"Sukhbaatar"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159668"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210017"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449873"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512090"},{"key":"ref50","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. ICLR","author":"Kipf"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2957786"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01068"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462974"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.126"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2022.3222259"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761014"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3680030"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3701551.3703485"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331230"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330666"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671601"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401440"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3680019"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3690624.3709438"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3746252.3761528"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2022.3233819"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679842"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2025.3538646"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2025.3601712"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.131"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/10761.003.0009"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00238"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1145\/2911996.2912004"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290975"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"ref78","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. ICLR","author":"Kingma"},{"key":"ref79","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. NeurIPS","volume":"32","author":"Paszke"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221036\/11481828\/11372119.pdf?arnumber=11372119","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:51:22Z","timestamp":1777492282000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11372119\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":79,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2026.3651813","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}