{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T13:45:02Z","timestamp":1767707102907,"version":"3.37.3"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","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\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61836005","62172283"],"award-info":[{"award-number":["61836005","62172283"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tkde.2022.3199585","type":"journal-article","created":{"date-parts":[[2022,8,17]],"date-time":"2022-08-17T19:39:09Z","timestamp":1660765149000},"page":"1-14","source":"Crossref","is-referenced-by-count":11,"title":["KDCRec: Knowledge Distillation for Counterfactual Recommendation Via Uniform Data"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3612-709X","authenticated-orcid":false,"given":"Dugang","family":"Liu","sequence":"first","affiliation":[{"name":"National Engineering Laboratory for Big Data System Computing Technology and the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen,, China"}]},{"given":"Pengxiang","family":"Cheng","sequence":"additional","affiliation":[{"name":"Huawei Noah&#x0027;s Ark Lab, Shenzhen, China"}]},{"given":"Zinan","family":"Lin","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Big Data System Computing Technology and the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen,, China"}]},{"given":"Jinwei","family":"Luo","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Big Data System Computing Technology and the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen,, China"}]},{"given":"Zhenhua","family":"Dong","sequence":"additional","affiliation":[{"name":"Huawei Noah&#x0027;s Ark Lab, Shenzhen, China"}]},{"given":"Xiuqiang","family":"He","sequence":"additional","affiliation":[{"name":"Huawei Noah&#x0027;s Ark Lab, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6326-9531","authenticated-orcid":false,"given":"Weike","family":"Pan","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Big Data System Computing Technology and the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen,, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9310-3460","authenticated-orcid":false,"given":"Zhong","family":"Ming","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Big Data System Computing Technology and the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen,, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401083"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109912"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2307\/1912352"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1639714.1639717"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054202"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159732"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240355"},{"key":"ref10","first-page":"1670","article-title":"Recommendations as treatments: Debiasing learning and evaluation","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","author":"Schnabel"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462962"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467289"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291003"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358058"},{"volume-title":"The Book of Why: The New Science of Cause and Effect","year":"2018","author":"Pearl","key":"ref15"},{"author":"Hinton","key":"ref16","article-title":"Distilling the knowledge in a neural network"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-614"},{"article-title":"Label refinery: Improving ImageNet classification through label progression","year":"2018","author":"Bagherinezhad","key":"ref19"},{"article-title":"FitNets: Hints for thin deep nets","year":"2014","author":"Romero","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"article-title":"Dataset distillation","year":"2018","author":"Wang","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_17"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403309"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220021"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371790"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3564284"},{"key":"ref28","first-page":"326","article-title":"Scalable recommendation with hierarchical poisson factorization","volume-title":"Proc. 31st Conf. Uncertainty Artif. Intell.","author":"Gopalan"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883090"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2405556"},{"key":"ref31","first-page":"6638","article-title":"Doubly robust joint learning for recommendation on data missing not at random","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102387"},{"key":"ref33","first-page":"1854","article-title":"Information theoretic counterfactual learning from missing-not-at-random feedback","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3460231.3474263"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371783"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401114"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449788"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3578337.3605122"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401321"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412265"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441799"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462919"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441722"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240360"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107383"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1002\/9781119290384"},{"key":"ref47","first-page":"1","article-title":"Feature selection using lasso","volume":"30","author":"Fonti","year":"2017","journal-title":"VU Amsterdam Res. Paper Bus. Analytics"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04898-2_594"},{"key":"ref49","first-page":"1885","article-title":"Understanding black-box predictions via influence functions","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Koh"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301718"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.09.013"},{"key":"ref52","first-page":"1097","article-title":"Doubly robust policy evaluation and learning","volume-title":"Proc. 28th Int. Conf. Mach. Learn.","author":"Dud\u00edk"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.11.059"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/09860046.pdf?arnumber=9860046","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:57:27Z","timestamp":1705021047000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9860046\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/tkde.2022.3199585","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"type":"print","value":"1041-4347"},{"type":"electronic","value":"1558-2191"},{"type":"electronic","value":"2326-3865"}],"subject":[],"published":{"date-parts":[[2022]]}}}