{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:18:53Z","timestamp":1780636733079,"version":"3.54.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 106-3114-E-002-007"],"award-info":[{"award-number":["MOST 106-3114-E-002-007"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2020,3,1]]},"DOI":"10.1109\/tbdata.2018.2889121","type":"journal-article","created":{"date-parts":[[2018,12,21]],"date-time":"2018-12-21T20:28:51Z","timestamp":1545424131000},"page":"201-208","source":"Crossref","is-referenced-by-count":21,"title":["Fast Tensor Factorization for Large-Scale Context-Aware Recommendation from Implicit Feedback"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5201-0580","authenticated-orcid":false,"given":"Szu-Yu","family":"Chou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jyh-Shing Roger","family":"Jang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi-Hsuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959156"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609599"},{"key":"ref33","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\/1055709.1055714"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959182"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-013-0682-2"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"ref36","first-page":"2643","article-title":"Deep content-based music recommendation","author":"oord","year":"2013","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref35","article-title":"Large scale learning to rank","author":"sculley","year":"2009","journal-title":"NIPS2009 Workshop on Advances in Ranking"},{"key":"ref34","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186150"},{"key":"ref40","first-page":"1","article-title":"Evaluating music recommendation in a real-world setting: On data splitting and evaluation metrics","author":"chou","year":"2015","journal-title":"Proc IEEE Int Conf Multimedia Expo"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.16"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.41"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911489"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864726"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133057"},{"key":"ref16","first-page":"452","article-title":"BPR: Bayesian personalized ranking from implicit feedback","author":"rendle","year":"2009","journal-title":"Proc Conf Uncertainty Artif Intell"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109882"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609623"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v32i3.2364"},{"key":"ref28","article-title":"Frappe: Understanding the usage and perception of mobile app recommendations in-the-wild","volume":"abs 1505 3014","author":"baltrunas","year":"2015","journal-title":"CoRR"},{"key":"ref4","first-page":"3","article-title":"The Netflix prize","author":"bennett","year":"2007","journal-title":"Proc KDD Cup Workshop"},{"key":"ref27","first-page":"270","article-title":"Database for contextual personalization","volume":"78","author":"ko\u0161ir","year":"2011","journal-title":"Elektrotehni&#x0161;ki Vestnik"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2510333"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864721"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-22362-4_22"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168771"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2541167"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2645710.2645724"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2541160"},{"key":"ref20","first-page":"14","article-title":"Attention-based transactional context embedding for next-item recommendation","author":"wang","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2662070"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2348283.2348308"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098202"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556248"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718498"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864727"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33486-3_5"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098108"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/9016413\/08585106.pdf?arnumber=8585106","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:32:11Z","timestamp":1651080731000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8585106\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,1]]},"references-count":43,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tbdata.2018.2889121","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,1]]}}}