{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T14:59:43Z","timestamp":1761490783369,"version":"3.37.3"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"National Key R&D Program of China","award":["2016YFB1101701"],"award-info":[{"award-number":["2016YFB1101701"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2916350","type":"journal-article","created":{"date-parts":[[2019,5,15]],"date-time":"2019-05-15T16:13:08Z","timestamp":1557936788000},"page":"61811-61830","source":"Crossref","is-referenced-by-count":10,"title":["A Correlation-Experience-Demand Based Personalized Knowledge Recommendation Approach"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8098-3857","authenticated-orcid":false,"given":"Xiyan","family":"Yin","sequence":"first","affiliation":[]},{"given":"Buyun","family":"Sheng","sequence":"additional","affiliation":[]},{"given":"Feiyu","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Xinggang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zheng","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmp.2010.08.009"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CO.1943-7862.0000897"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-018-2099-2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1177\/0954406215584395"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.16"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41278-3_2"},{"key":"ref34","first-page":"266","article-title":"Time-aware recommender system using Na&#x00EF;ve Bayes classifier weighting technique","author":"puntheeranurak","year":"2013","journal-title":"Proc 2nd Int Symp Comput Commun Control Automat (3CA)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488514500445"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2018.01.028"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-151741"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.15388\/Informatica.2017.144"},{"key":"ref14","first-page":"196","article-title":"An improved cosine similarity algorithm based on document similarity","author":"lee","year":"2014","journal-title":"Proc Int Symp Fuzzy Syst Knowl Discovery Natural Comput (FSKDNC)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2016.06.001"},{"key":"ref16","first-page":"499","article-title":"The normalized distance preserving binary codes and distance table","volume":"33","author":"zhao","year":"2017","journal-title":"J Inf Sci Eng"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-015-9319-2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"ref19","first-page":"1576","article-title":"Multi-perspective sentences similarity modeling with convolutional neural networks","author":"hua","year":"2015","journal-title":"Proc EMNLP"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/2078626"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2014.04.002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-017-1075-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/09544828.2016.1274720"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1700763"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2017.01.003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2015.01.003"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2016.03.004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1108\/K-11-2014-0244"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/0954405418759375"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1134\/S1054661817040058"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procir.2016.04.166"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-017-0476-7"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.07.021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2017.05.005"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-015-9443-9"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2017.05.003"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2013.04.010"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/1063293X16640319"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08715488.pdf?arnumber=8715488","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:54:49Z","timestamp":1641988489000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8715488\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2916350","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}