{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:16:53Z","timestamp":1740133013695,"version":"3.37.3"},"reference-count":42,"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":[{"name":"NSF","award":["DGE 1565478"],"award-info":[{"award-number":["DGE 1565478"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tkde.2022.3201058","type":"journal-article","created":{"date-parts":[[2022,11,8]],"date-time":"2022-11-08T20:38:21Z","timestamp":1667939901000},"page":"1-14","source":"Crossref","is-referenced-by-count":2,"title":["Personalized Dynamic Counter Ad-Blocking Using Deep Learning"],"prefix":"10.1109","author":[{"given":"Shuai","family":"Zhao","sequence":"first","affiliation":[{"name":"Martin Tuchman School of Management, NJ, USA"}]},{"given":"Michael K.","family":"Chen","sequence":"additional","affiliation":[{"name":"Raffles Institution, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0020-0910","authenticated-orcid":false,"given":"Cristian","family":"Borcea","sequence":"additional","affiliation":[{"name":"Department of Computer Science, New Jersey Institute of Technology, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3669-1643","authenticated-orcid":false,"given":"Yi","family":"Chen","sequence":"additional","affiliation":[{"name":"Martin Tuchman School of Management, NJ, USA"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2815675.2815705"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6463-x"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3308560.3314198"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1111\/1756-2171.12218"},{"article-title":"Deepctr: Easy-to-use,modular and extendible package of deep-learning based CTR models","year":"2017","author":"shen","key":"ref37"},{"key":"ref14","first-page":"1","article-title":"Ad blocking and counter-ad blocking: Analysis of online ad blocker usage","author":"zhao","year":"2017","journal-title":"Proc Americas Conf Informat Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645724"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835471"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2839599"},{"key":"ref11","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Informat Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330859"},{"article-title":"Revenue sources: A heavy dependence on advertising","year":"2014","author":"holcomb","key":"ref2"},{"article-title":"Survey: Independent local online publishers rely heavily on ad revenue","year":"2014","author":"mclellan","key":"ref1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3124749.3124756"},{"journal-title":"Appl Statist Anal of variance and regression","year":"1974","author":"dunn","key":"ref39"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186162"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref38"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2020.1759927"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1287\/isre.2019.0906"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2017.08.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219823"},{"key":"ref26","first-page":"5254","article-title":"A survey on recommender systems (RSS) and its applications","volume":"2","author":"kumar","year":"2014","journal-title":"Int J Innov Res Comput Commun Eng"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-016-2367-1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2018.1523564"},{"key":"ref42","first-page":"31","article-title":"Survey on collaborative filtering, content-based filtering and hybrid recommendation system","volume":"110","author":"thorat","year":"2015","journal-title":"Int J Comput Appl"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3453443"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273513"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.25300\/MISQ\/2018\/14103"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/239"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3131365.3131387"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380025"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2815675.2815703"},{"article-title":"Uh-oh: Ad blocking forecast to cost $35 billion by 2020","year":"2017","author":"davies","key":"ref4"},{"year":"2019","key":"ref3","article-title":"Global digital ad spending 2019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006402"},{"article-title":"30% of top publishers adopt ’anti-ad-blockers,’ new study finds","year":"2018","author":"sweeney","key":"ref5"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3844\/jcssp.2006.735.739"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/09942360.pdf?arnumber=9942360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T21:47:52Z","timestamp":1688766472000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9942360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/tkde.2022.3201058","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]]}}}