{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:33:18Z","timestamp":1787013198081,"version":"build-2736575974"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"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":["61572108"],"award-info":[{"award-number":["61572108"]}],"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":["61632007"],"award-info":[{"award-number":["61632007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The 111 Project","award":["B17008"],"award-info":[{"award-number":["B17008"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2019,4,1]]},"DOI":"10.1109\/tkde.2018.2842190","type":"journal-article","created":{"date-parts":[[2018,5,31]],"date-time":"2018-05-31T15:01:36Z","timestamp":1527778896000},"page":"757-768","source":"Crossref","is-referenced-by-count":45,"title":["Hierarchical Multi-Clue Modelling for POI Popularity Prediction with Heterogeneous Tourist Information"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5070-4511","authenticated-orcid":false,"given":"Yang","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaqian","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinze","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9738-4949","authenticated-orcid":false,"given":"Zi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2999-2088","authenticated-orcid":false,"given":"Heng Tao","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2872518.2889402"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1989323.1989430"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1459359.1459389"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref37","first-page":"355","article-title":"Two view learning: SVM-2K, theory and practice","author":"farquhar","year":"2005","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.07.015"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-013-1362-6"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00683"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869857"},{"key":"ref11","first-page":"1778","article-title":"Personalized tour recommendation based on user interests and points of interest visit durations","author":"lim","year":"2015","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2009962"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484030"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-015-0825-8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2417506"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27674-8_14"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2541160"},{"key":"ref18","first-page":"197","article-title":"Multimodal popularity prediction of brand-related social media posts","author":"mazloom","year":"2016","journal-title":"Proc ACM Int Conf Multimedia"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2009945"},{"key":"ref28","first-page":"2401","article-title":"Learning geographical hierarchy features for social image location prediction","author":"zhang","year":"2015","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2567996"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939847"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806361"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.142"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2014.2384912"},{"key":"ref5","first-page":"898","article-title":"Micro tells macro: Predicting the popularity of micro-videos via a transductive model","author":"chen","year":"2016","journal-title":"Proc ACM Int Conf Multimedia"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080701"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020579"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783401"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339562"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-011-0142-4"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914713"},{"key":"ref22","first-page":"272","article-title":"Unfolding temporal dynamics: Predicting social media popularity using multi-scale temporal decomposition","author":"wu","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767726"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806244"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911524"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488392"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484032"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/8661586\/08370064.pdf?arnumber=8370064","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T17:14:11Z","timestamp":1657732451000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8370064\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,1]]},"references-count":38,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2018.2842190","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,1]]}}}