{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:45:17Z","timestamp":1761648317619,"version":"3.37.3"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2016,4,1]],"date-time":"2016-04-01T00:00:00Z","timestamp":1459468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100012166","name":"973 Program","doi-asserted-by":"crossref","award":["2012CB316304"],"award-info":[{"award-number":["2012CB316304"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61332016","61272329","61472422"],"award-info":[{"award-number":["61332016","61272329","61472422"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2016,4,1]]},"DOI":"10.1109\/tkde.2015.2492540","type":"journal-article","created":{"date-parts":[[2015,10,26]],"date-time":"2015-10-26T15:00:02Z","timestamp":1445871602000},"page":"939-950","source":"Crossref","is-referenced-by-count":29,"title":["Domain-Sensitive Recommendation with User-Item Subgroup Analysis"],"prefix":"10.1109","volume":"28","author":[{"given":"Jing","family":"Liu","sequence":"first","affiliation":[]},{"given":"Yu","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Zechao","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Hanqing","family":"Lu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2004.2"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/502512.502550"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.09.012"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/SNPD.2014.6888678"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339574"},{"key":"ref10","first-page":"704","article-title":"Flexible mixture model for collaborative filtering","author":"si","year":"0","journal-title":"Proc 20th Int Conf Mach Learn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014111"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2005.14"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187840"},{"key":"ref14","first-page":"43","article-title":"Empirical analysis of predictive algorithms for collaborative filtering","author":"breese","year":"0","journal-title":"Proc 14th Conf Uncertainty Artif Intell"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/312624.312682"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1155\/2009\/421425"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44533-1_68"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-003-0123-8"},{"key":"ref28","first-page":"364","article-title":"A collaborative filtering approach combining clustering and navigational based correlations","author":"esslimani","year":"0","journal-title":"Proc 5th Int Conf Web Inf Syst Technol"},{"key":"ref4","first-page":"141","article-title":"RecTree: An efficient collaborative filtering method","author":"han","year":"0","journal-title":"Proc 3rd Int Conf Data Warehousing Knowl Discovery"},{"key":"ref27","first-page":"583","article-title":"A clustering approach for collaborative filtering recommendation using social network analysis","volume":"17","author":"pham","year":"2011","journal-title":"J Universal Comput Sci"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2487788.2487908"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1076034.1076056"},{"key":"ref29","first-page":"9","article-title":"Context-aware collaborative topic regression with social matrix factorization for recommender systems","author":"chen","year":"0","journal-title":"Proc Conf Artif Intell"},{"key":"ref5","article-title":"Recommender systems for large-scale e-commerce: scalable neighborhood formation using clustering","author":"sarwar","year":"2002","journal-title":"Proc Int Conf Comput Inf Technol"},{"key":"ref8","article-title":"Clustering items for collaborative filtering","author":"o\u2019connor","year":"0","journal-title":"Proc ACM SIGIR Workshop Recommender Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2365952.2365997"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488519"},{"key":"ref9","article-title":"Clustering methods for collaborative filtering","author":"ungar","year":"0","journal-title":"Proc Workshop on Recommendation Systems"},{"key":"ref1","first-page":"725","article-title":"Multi-domain collaborative filtering","author":"zhang","year":"0","journal-title":"Proc 26th Conf Annu Conf Uncertainty Artif Intell"},{"key":"ref20","first-page":"688","article-title":"Latent class models for collaborative filtering","author":"hofmann","year":"0","journal-title":"Proc 6th Int Joint Conf Artif Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972764.58"},{"key":"ref21","article-title":"Application of dimensionality reduction in recommender system &#x2013; a case study","author":"sarwar","year":"0","journal-title":"Proc ACM WebKDD Workshop"},{"key":"ref24","first-page":"1257","article-title":"Probabilistic matrix factorization","author":"salakhutdinov","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","first-page":"1329","article-title":"Maximum-margin matrix factorization","author":"rennie","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2400461"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1109\/TNNLS.2014.2335234","article-title":"Partially shared latent factor learning with multiview data","volume":"26","author":"liu","year":"2015","journal-title":"IEEE Trans Neural Netw Learn Syst"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/7426466\/7305793.pdf?arnumber=7305793","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:48:14Z","timestamp":1641988094000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7305793\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,1]]},"references-count":34,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2015.2492540","relation":{},"ISSN":["1041-4347"],"issn-type":[{"type":"print","value":"1041-4347"}],"subject":[],"published":{"date-parts":[[2016,4,1]]}}}