{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T17:31:19Z","timestamp":1768411879456,"version":"3.49.0"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T00:00:00Z","timestamp":1713139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T00:00:00Z","timestamp":1713139200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T00:00:00Z","timestamp":1713139200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["62276211"],"award-info":[{"award-number":["62276211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"International Cooperation Project of Shaanxi Province","award":["2020KW-004"],"award-info":[{"award-number":["2020KW-004"]}]},{"name":"National Key Research and Development Program of China","award":["2018YFB1802401"],"award-info":[{"award-number":["2018YFB1802401"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2024,4,15]]},"DOI":"10.1109\/jiot.2023.3344573","type":"journal-article","created":{"date-parts":[[2023,12,26]],"date-time":"2023-12-26T19:32:08Z","timestamp":1703619128000},"page":"14508-14522","source":"Crossref","is-referenced-by-count":4,"title":["TA-GAE: Crowdsourcing Diverse Task Assignment Based on Graph Autoencoder in AIoT"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2088-1752","authenticated-orcid":false,"given":"Xiuya","family":"Liu","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7526-7269","authenticated-orcid":false,"given":"Tianzhang","family":"Xing","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4485-457X","authenticated-orcid":false,"given":"Xianjia","family":"Meng","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Northwest University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8218-1209","authenticated-orcid":false,"given":"Chase Q.","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Data Science, New Jersey Institute of Technology, Newark, NJ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"issue":"18","key":"ref1","doi-asserted-by":"crossref","first-page":"1565","DOI":"10.2146\/ajhp100029","article-title":"Crowdsourcing: Why the power of the crowd is driving the future of business","volume":"67","author":"Howe","year":"2010","journal-title":"J. Health Syst. Pharm."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3494522"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3239114"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1051\/itmconf\/20224603002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/hcomp.v3i1.13236"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2815982"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/iThings\/CPSCom.2011.128"},{"key":"ref8","article-title":"Crowdsourcing parallel corpus for English\u2014Oromo neural machine translation using community engagement platform","author":"Chala","year":"2021","journal-title":"arXiv:2102.07539"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-4560.1974.tb00706.x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3476053"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358023"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v26i1.8120"},{"key":"ref13","first-page":"534","article-title":"Adaptive task assignment for crowdsourced classification","volume-title":"Proc. 30th Int. Conf. Int. Conf. Mach. Learn.","author":"Ho"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488421"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661871"},{"key":"ref16","first-page":"318","article-title":"Assigning tasks to workers based on historical data: Online task assignment with two-sided arrivals","volume-title":"Proc. Int. Conf. Auton. Agents MultiAgent Syst.","author":"Dickerson"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2818048.2835202"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883070"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.14778\/3007263.3007293"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3140459"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080786"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3415181"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2984826"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog0901_7"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"696","DOI":"10.7551\/mitpress\/4943.003.0042","article-title":"Learning representations by back-propagating errors","volume-title":"Neurocomputing: Foundations of Research","author":"Rumelhart","year":"1988"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1995.7.3.549"},{"key":"ref27","first-page":"1","article-title":"Variational graph autoencoders","volume-title":"Proc. Bayesian Deep Learn. Workshop","author":"Kipf"},{"key":"ref28","first-page":"1","article-title":"Representation learning on graphs: Methods and applications","volume-title":"Proc. IEEE Data Eng. Bull.","author":"Hamilton"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3341162.3349327"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2003.1167344"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96893-3_2"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/BF01580218"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.79"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7637-6_4"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2015.2398954"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/math10010133"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7439(99)00047-7"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1981.10477598"},{"key":"ref39","first-page":"1","article-title":"Variational graph auto-encoders","volume-title":"Proc. Bayesian Deep Learn. Workshop","author":"Kipf"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2023.3279836"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/tase.2023.3309629"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/b978-044450871-3\/50086-3"},{"key":"ref43","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Kipf"},{"issue":"1","key":"ref44","first-page":"55","article-title":"Review on Latent Dirichlet Allocation model","volume":"8","author":"Weilin","year":"2018","journal-title":"J. Inf. Resour. Manag."},{"key":"ref46","volume-title":"(GroupLens, Minneapolis, MN, USA)"},{"key":"ref47","first-page":"1","article-title":"ELBO surgery: Yet another way to carve up the variational evidence lower bound","volume-title":"Proc. Workshop Adv. Approx. Bayesian Inference","author":"Hoffman"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474272"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474252"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2020.539363"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1177\/1354856507084420"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1111\/ijmr.12135"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10495736\/10374307.pdf?arnumber=10374307","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,10]],"date-time":"2024-04-10T18:23:56Z","timestamp":1712773436000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10374307\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,15]]},"references-count":52,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2023.3344573","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,15]]}}}