{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T18:19:44Z","timestamp":1784312384396,"version":"3.55.0"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council (ARC) through the Australian Laureate Fellowship","doi-asserted-by":"publisher","award":["FL190100149"],"award-info":[{"award-number":["FL190100149"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/tnnls.2022.3154345","type":"journal-article","created":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T20:21:42Z","timestamp":1646943702000},"page":"8965-8977","source":"Crossref","is-referenced-by-count":21,"title":["Heterogeneous Multidomain Recommender System Through Adversarial Learning"],"prefix":"10.1109","volume":"34","author":[{"given":"Wenhui","family":"Liao","sequence":"first","affiliation":[{"name":"Australian Artificial Intelligence Institute, Faulty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9977-8418","authenticated-orcid":false,"given":"Qian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Australian Artificial Intelligence Institute, Faulty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2169-0007","authenticated-orcid":false,"given":"Bo","family":"Yuan","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3960-0583","authenticated-orcid":false,"given":"Guangquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Australian Artificial Intelligence Institute, Faulty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0690-4732","authenticated-orcid":false,"given":"Jie","family":"Lu","sequence":"additional","affiliation":[{"name":"Australian Artificial Intelligence Institute, Faulty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2875144"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11767"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"ref34","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"2015","journal-title":"Proc ICML"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/516"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref14","article-title":"A deep dual adversarial network for cross-domain recommendation","author":"zhang","year":"2021","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"ref36","first-page":"1","article-title":"Generative multi-adversarial networks","author":"durugkar","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref31","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc NIPS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/587"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2595620"},{"key":"ref33","first-page":"343","article-title":"Domain separation networks","author":"bousmalis","year":"2016","journal-title":"Proc NIPS"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018665"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2199765"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1142\/IIS"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488441"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.01.010"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371793"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2952792"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2907430"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553454"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2013.01.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3243652"},{"key":"ref45","first-page":"2030","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123361"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.11.004"},{"key":"ref25","first-page":"2052","article-title":"Can movies and books collaborate? Cross-domain collaborative filtering for sparsity reduction","volume":"9","author":"li","year":"2009","journal-title":"Proc IJCAI"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.21236\/ADA486804"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.549"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2868854"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06028-6_72"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742726"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2017.10.002"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2973293"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271684"},{"key":"ref27","first-page":"1097","article-title":"Heterogeneous recommendation via deep low-rank sparse collective factorization","volume":"42","author":"jiang","year":"2020","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00125"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/447"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/644"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2016.05.002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939673"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/963770.963776"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972832.27"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10299535\/09732900.pdf?arnumber=9732900","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:27:30Z","timestamp":1700508450000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9732900\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":48,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3154345","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}