{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T07:52:50Z","timestamp":1769845970260,"version":"3.49.0"},"reference-count":38,"publisher":"IBM","issue":"5\/6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IBM J. Res. &amp; Dev."],"published-print":{"date-parts":[[2016,9]]},"DOI":"10.1147\/jrd.2016.2602097","type":"journal-article","created":{"date-parts":[[2016,9,30]],"date-time":"2016-09-30T14:32:16Z","timestamp":1475245936000},"page":"11:1-11:12","source":"Crossref","is-referenced-by-count":9,"title":["Toward interpretable predictive models in B2B recommender systems"],"prefix":"10.1147","volume":"60","author":[{"given":"M.","family":"Vlachos","sequence":"first","affiliation":[{"name":"IBM Research, Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V. G.","family":"Vassiliadis","sequence":"additional","affiliation":[{"name":"IBM Research, Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Heckel","sequence":"additional","affiliation":[{"name":"IBM Research, Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Labbi","sequence":"additional","affiliation":[{"name":"IBM Research, Zurich, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3082","reference":[{"key":"ref38","first-page":"173","article-title":"Who also likes it? Generating the most persuasive social explanations in recommender systems","author":"wang","year":"0","journal-title":"Proc AAAI"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2005.14"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502550"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/956755.956764"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014064"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24586-7_17"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2013.12.007"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1609\/aimag.v32i3.2365","article-title":"A taxonomy for generating explanations in recommender systems","volume":"32","author":"friedrich","year":"2011","journal-title":"AI Mag"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864778"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-008-0091-4"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609579"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","article-title":"Learning the parts of objects by non-negative matrix factorization","volume":"401","author":"lee","year":"1999","journal-title":"Nature"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2433396.2433471"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.10.2756"},{"key":"ref15","article-title":"Interpretable recommendations via overlapping co-clusters","author":"heckel","year":"0","journal-title":"arXiv 1604 02071"},{"key":"ref16","first-page":"448","article-title":"Learning with positive and unlabeled examples using weighted logistic regression","author":"lee","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401920"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"ref19","first-page":"563","article-title":"Bayesian matrix factorization with side information and Dirichlet process mixtures","author":"porteous","year":"0","journal-title":"Proc AAAI"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"74","DOI":"10.69554\/CZSA1392","article-title":"Mass communication on social media: Strategy for scaling up personal conversations","volume":"1","author":"porat","year":"2013","journal-title":"Journal of Digital & Social Media Marketing"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1250910.1250939"},{"key":"ref27","author":"mackenzie","year":"2013","journal-title":"How Retailers Can Keep Up With Consumers"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/336992.337035"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDEW.2007.4401070"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"ref5","first-page":"357","article-title":"Smarter than genius? Human evaluation of music recommender systems","volume":"9","author":"barrington","year":"0","journal-title":"Proc ISMIR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2004.2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.16"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2007.52"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1201\/9781420036275.ch26"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.2307\/41703503","article-title":"Business intelligence and analytics: From big data to big impact","volume":"36","author":"chen","year":"2012","journal-title":"MIS Quart"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557029"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/1100000028","article-title":"Choice architecture for human-computer interaction","volume":"7","author":"jameson","year":"2014","journal-title":"Found Trends Hum -Comput Interact"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/963770.963776"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/352871.352887"},{"key":"ref26","first-page":"1","article-title":"Effectiveness of different recommender algorithms in the mobile internet: A case study","author":"hegelich","year":"0","journal-title":"Proc 7th Workshop ITWP"},{"key":"ref25","first-page":"452","article-title":"BPR: Bayesian personalized ranking from implicit feedback","author":"rendle","year":"0","journal-title":"Proc UAI"}],"container-title":["IBM Journal of Research and Development"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5288520\/7580579\/07580713.pdf?arnumber=7580713","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T17:57:40Z","timestamp":1761242260000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7580713\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9]]},"references-count":38,"journal-issue":{"issue":"5\/6"},"URL":"https:\/\/doi.org\/10.1147\/jrd.2016.2602097","relation":{},"ISSN":["0018-8646","0018-8646"],"issn-type":[{"value":"0018-8646","type":"print"},{"value":"0018-8646","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9]]}}}