{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:10:15Z","timestamp":1775913015122,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB1403001"],"award-info":[{"award-number":["2018YFB1403001"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1509221"],"award-info":[{"award-number":["U1509221"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Zhejiang Provincial Key R&amp;D Program, China","award":["2017C03044"],"award-info":[{"award-number":["2017C03044"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022,1,1]]},"DOI":"10.1109\/tkde.2020.2980517","type":"journal-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T20:27:36Z","timestamp":1584131256000},"page":"405-418","source":"Crossref","is-referenced-by-count":19,"title":["Modeling Dynamic Missingness of Implicit Feedback for Sequential Recommendation"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5483-0366","authenticated-orcid":false,"given":"Xiaolin","family":"Zheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0682-5866","authenticated-orcid":false,"given":"Menghan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7566-7948","authenticated-orcid":false,"given":"Renjun","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianmeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5344-1884","authenticated-orcid":false,"given":"Yan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"13","article-title":"Explaining recommendations: Satisfaction versus promotion","volume-title":"Proc. Workshop Next Stage Recommender Syst. Res. Int. Conf. Intell. User Interfaces: Beyond Personalization","author":"Bilgic"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240360"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2792838.2800174"},{"key":"ref4","first-page":"94","article-title":"Finding optimal bayesian networks","volume-title":"Proc. 18th Conf. Uncertainty Artif. Intell.","author":"Chickering"},{"key":"ref5","first-page":"2067","article-title":"Gated feedback recurrent neural networks","volume-title":"Proc. 32nd Int. Conf. Int. Conf. Mach. Learn.","author":"Chung"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3079628.3079670"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.21236\/ADA307097"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0030"},{"key":"ref9","first-page":"1512","article-title":"Probabilistic matrix factorization with non-random missing data","volume-title":"Proc. 31st Int. Conf. Mach. Learn.","author":"Hern\u00e1ndez-Lobato"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1142\/9789812799524_0068"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557072"},{"key":"ref12","first-page":"82","article-title":"Local low-rank matrix approximation","volume-title":"Proc. ICML","author":"Lee"},{"key":"ref13","first-page":"477","article-title":"Mixture-rank matrix approximation for collaborative filtering","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Li"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883090"},{"key":"ref15","first-page":"501","article-title":"Response aware model-based collaborative filtering","volume-title":"Proc. 28th Conf. Uncertainty Artif. Intell.","author":"Ling"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/9781119013563"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0135"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9971"},{"key":"ref19","first-page":"19","article-title":"Online learning for matrix factorization and sparse coding","volume-title":"Proc. JMLR","author":"Mairal"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1639714.1639717"},{"key":"ref21","first-page":"267","article-title":"Collaborative filtering and the missing at random assumption","volume-title":"Proc. Conf. Uncertainty Artif. Intell.","author":"Marlin"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783381"},{"key":"ref23","first-page":"1257","article-title":"Probabilistic matrix factorization","volume-title":"Proc. NIPS","author":"Mnih"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2008.10-06-351"},{"key":"ref25","first-page":"401","article-title":"Taste over time: The temporal dynamics of user preferences","volume-title":"Proc. ISMIR","author":"Moore"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/SIU.2017.7960695"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.16"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098197"},{"key":"ref29","first-page":"452","article-title":"BPR: Bayesian personalized ranking from implicit feedback","volume-title":"Proc. 25th Conf. Uncertainty Artif. Intell.","author":"Rendle"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.2307\/41703509"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390267"},{"key":"ref33","first-page":"1670","article-title":"Recommendations as treatments: Debiasing learning and evaluation","volume-title":"Proc. 25th Int. Conf. Mach. Learn.","author":"Schnabel"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2556270"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/1754.001.0001"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1502650.1502661"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783273"},{"key":"ref38","first-page":"6670","article-title":"Modeling dynamic missingness of implicit feedback for recommendation","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11835"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767694"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159710"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018689"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835896"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240355"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914683"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2009.11.011"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973440.52"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2018.09.054"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/9639435\/09035641.pdf?arnumber=9035641","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T22:30:01Z","timestamp":1704839401000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9035641\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,1]]},"references-count":48,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2020.2980517","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":[[2022,1,1]]}}}