{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T14:29:31Z","timestamp":1774448971439,"version":"3.50.1"},"reference-count":39,"publisher":"Tsinghua University Press","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Big Data Min. Anal."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.26599\/bdma.2021.9020032","type":"journal-article","created":{"date-parts":[[2022,6,9]],"date-time":"2022-06-09T20:22:56Z","timestamp":1654806176000},"page":"192-205","source":"Crossref","is-referenced-by-count":15,"title":["Optimal Dependence of Performance and Efficiency of Collaborative Filtering on Random Stratified Subsampling"],"prefix":"10.26599","volume":"5","author":[{"given":"Samin","family":"Poudel","sequence":"first","affiliation":[{"name":"North Carolina A&#x0026;T State University,Department of Computational Data Science and Engineering,Greensboro,NC,USA,27401"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marwan","family":"Bikdash","sequence":"additional","affiliation":[{"name":"North Carolina A&#x0026;T State University,Department of Computational Data Science and Engineering,Greensboro,NC,USA,27401"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11138","reference":[{"issue":"5","key":"ref1","first-page":"1989","article-title":"A survey of recommendation system: Research challenges","volume":"4","author":"Sharma","year":"2013","journal-title":"Int. J. Eng. Trends Technol."},{"issue":"1","key":"ref2","first-page":"281","article-title":"Survey on content based recommendation system","volume":"7","author":"Pereira","year":"2016","journal-title":"Int. J. Comput. Sci. Inf. Technol"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2877208"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eij.2015.06.005"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.03.011"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-29659-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.5120\/19308-0760"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2009\/421425"},{"key":"ref9","volume-title":"A regression-based approach for scaling-up personalized recommender systems in E-commerce","author":"Vucetic","year":"2009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2005.14"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICACSIS.2016.7872755"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2151163.2151166"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1921591.1921593"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2007.4338497"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-50420-5_25"},{"key":"ref16","article-title":"A comparative study of collaborative filtering algorithms","author":"Lee","year":"2012","journal-title":"arXiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2573314"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3205035"},{"key":"ref19","first-page":"43","article-title":"Empirical analysis of predictive algorithms for collaborative filtering","volume-title":"Proc. of the Fourteenth Conf. on Uncertainty in Artificial Intelligence","author":"Breese"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401046"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240370"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-86940-2_10"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.21105\/joss.02174"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2014.2308433"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972757.43"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref27","first-page":"78","article-title":"Setting goals and choosing metrics for recommender system evaluations","volume-title":"CEUR Workshop Proc.","volume":"811","author":"Schr\u00f6der","year":"2011"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-7-1247-2014"},{"key":"ref29","volume-title":"MovieLens 1M Dataset","year":"2003"},{"issue":"4","key":"ref30","first-page":"19","article-title":"The movielens datasets: History and context","volume":"5","author":"Harper","year":"2015","journal-title":"ACM Trans. Interact. Intell. Syst."},{"key":"ref31","volume-title":"MovieLens 25M Dataset","year":"2019"},{"key":"ref32","volume-title":"Y. M. Dataset","year":"2021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1018"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0686-2"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.4103\/jpcs.jpcs_8_18"},{"key":"ref36","volume-title":"ANOVA for Regression","author":"Lacey","year":"2021"},{"key":"ref37","volume-title":"Fishers, Fishers method","year":"2021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1110.1458"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9005951"}],"container-title":["Big Data Mining and Analytics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8254253\/9793354\/09793360.pdf?arnumber=9793360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T02:16:11Z","timestamp":1709864171000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9793360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":39,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.26599\/bdma.2021.9020032","relation":{},"ISSN":["2096-0654","2097-406X"],"issn-type":[{"value":"2096-0654","type":"print"},{"value":"2097-406X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}