{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T18:01:12Z","timestamp":1774720872820,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"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":["2022YFB4501704"],"award-info":[{"award-number":["2022YFB4501704"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72342026"],"award-info":[{"award-number":["72342026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2024-6-ZD-02"],"award-info":[{"award-number":["2024-6-ZD-02"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tbdata.2025.3618453","type":"journal-article","created":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T17:50:39Z","timestamp":1759859439000},"page":"261-275","source":"Crossref","is-referenced-by-count":1,"title":["Bridging User Dynamic Preferences: A Unified Bridge-Based Diffusion Model for Next POI Recommendation"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4026-134X","authenticated-orcid":false,"given":"Jiankai","family":"Zuo","sequence":"first","affiliation":[{"name":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8374-6667","authenticated-orcid":false,"given":"Zihao","family":"Yao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9552-3274","authenticated-orcid":false,"given":"Yaying","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3510409"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3551292"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9971"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3002531"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3342812"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3354934"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449998"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3464300"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3355292"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671809"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531983"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657730"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3589132.3625644"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591770"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657726"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121931"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3329673"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3397683"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25608"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3664651"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109630"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3626235"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3261988"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.248"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3624475"},{"key":"ref28","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho","year":"2020"},{"key":"ref29","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nichol","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3466301"},{"key":"ref31","first-page":"7158","article-title":"Consistency diffusion bridge models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"He","year":"2024"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3446048"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3631116"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591678"},{"key":"ref35","first-page":"21696","article-title":"Variational diffusion models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Kingma","year":"2021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591663"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3272341"},{"key":"ref38","first-page":"8160","article-title":"Denoising diffusion bridge models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhou","year":"2024"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28736"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3627673.3679756"},{"key":"ref41","first-page":"11895","article-title":"Generative modeling by estimating gradients of the data distribution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Song","year":"2019"},{"key":"ref42","first-page":"240","article-title":"Score-based generative modeling through stochastic differential equations","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song","year":"2021"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2025.3562352"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671743"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657742"},{"key":"ref46","first-page":"19636","article-title":"DEFT: Efficient finetuning of conditional diffusion models by learning the generalised $ h$h-transform","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Denker","year":"2024"},{"key":"ref47","first-page":"65791","article-title":"Doob\u2019s Lagrangian: A sample-efficient variational approach to transition path sampling","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Du","year":"2024"},{"key":"ref48","first-page":"26565","article-title":"Elucidating the design space of diffusion-based generative models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Karras","year":"2022"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313635"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020579"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6687317\/11357241\/11195170.pdf?arnumber=11195170","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T05:19:10Z","timestamp":1768627150000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11195170\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":50,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2025.3618453","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}