{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:05:05Z","timestamp":1773511505327,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":"publisher","award":["61673230"],"award-info":[{"award-number":["61673230"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Serv. Comput."],"published-print":{"date-parts":[[2020,1,1]]},"DOI":"10.1109\/tsc.2017.2681666","type":"journal-article","created":{"date-parts":[[2017,3,16]],"date-time":"2017-03-16T01:26:35Z","timestamp":1489627595000},"page":"73-85","source":"Crossref","is-referenced-by-count":100,"title":["DLTSR: A Deep Learning Framework for Recommendations of Long-Tail Web Services"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6953-1948","authenticated-orcid":false,"given":"Bing","family":"Bai","sequence":"first","affiliation":[]},{"given":"Yushun","family":"Fan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2617-7598","authenticated-orcid":false,"given":"Wei","family":"Tan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2148-0923","authenticated-orcid":false,"given":"Jia","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623338"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1454008.1454012"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-012-0025-1"},{"key":"ref30","first-page":"2344","article-title":"Diversity in recommender system","volume":"4","author":"ghanghas","year":"2013","journal-title":"Int J Eng Trends Technol"},{"key":"ref37","first-page":"957","article-title":"From word embeddings to document distances","author":"kusner","year":"2015","journal-title":"Proceedings of the 32nd Intl Conf on Machine Learning"},{"key":"ref36","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref35","article-title":"Modeling documents with deep boltzmann machines","author":"srivastava","year":"2013","journal-title":"Proc Twenty-Ninth Conf Uncertainty Artif Intell UAI"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS.2015.42"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2566486.2568001"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2011.59"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS.2015.37"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SCC.2013.107"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2014.2379251"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783273"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020480"},{"key":"ref18","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learning Res"},{"key":"ref19","first-page":"899","article-title":"Generalized denoising auto-encoders as generative models","author":"bengio","year":"2013","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOAS309"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS.2015.34"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS.2014.50"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SCC.2011.120"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1125451.1125659"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0307752101"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2014.2381496"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40173-2_35"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.14778\/2311906.2311916"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MITP.2007.60"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICWS.2014.18"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2010.147"},{"key":"ref20","article-title":"Learning representations by back-propagating errors","volume":"5","author":"rumelhart","year":"1988","journal-title":"Cognitive Modeling"},{"key":"ref22","first-page":"351","article-title":"Dropout training as adaptive regularization","author":"wager","year":"2013","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00116-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639330"},{"key":"ref23","first-page":"71","article-title":"Topic models","author":"blei","year":"2009","journal-title":"Text Mining Classification Clustering and Applications"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-48616-0_12"},{"key":"ref25","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learning Res"}],"container-title":["IEEE Transactions on Services Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4629386\/8984641\/07876831.pdf?arnumber=7876831","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:12:37Z","timestamp":1651079557000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7876831\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,1]]},"references-count":37,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tsc.2017.2681666","relation":{},"ISSN":["1939-1374","2372-0204"],"issn-type":[{"value":"1939-1374","type":"electronic"},{"value":"2372-0204","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,1]]}}}