{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T18:13:45Z","timestamp":1770660825179,"version":"3.49.0"},"reference-count":53,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T00:00:00Z","timestamp":1477958400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2016,11]]},"abstract":"<jats:p>\n                    The proliferation of knowledge-sharing communities has generated large amounts of data. Prominent examples of how user-generated content can be harnessed include IBM\u2019s Watson question answering sytem and Apple\u2019s Siri, the question answering application in iPhones. Facing such massive data, user authority ranking is important to the development of question answering and other e-commerce services. In this study, we propose three probabilistic models to rank the user authority of each question. Compared to the existing approaches focused on the user relationship primarily, our method is more effective because we consider the link structure and topical similarities between users and questions simultaneously. We use a real-world dataset from\n                    <jats:italic>Zhihu<\/jats:italic>\n                    , a popular community question answering website in China to conduct experiments. Experimental results show that our model outperforms other baseline methods in ranking the user authority.\n                  <\/jats:p>","DOI":"10.3233\/jifs-169094","type":"journal-article","created":{"date-parts":[[2016,10,14]],"date-time":"2016-10-14T10:28:05Z","timestamp":1476440885000},"page":"2533-2542","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["User authority ranking models for\u00a0community question answering"],"prefix":"10.1177","volume":"31","author":[{"given":"Yanghui","family":"Rao","sequence":"first","affiliation":[{"name":"School of Data and Computer Science, Sun Yat-sen University, China"}]},{"given":"Haoran","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong"}]},{"given":"Xuebo","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Data and Computer Science, Sun Yat-sen University, China"}]},{"given":"Qing","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong"}]},{"given":"Fu Lee","family":"Wang","sequence":"additional","affiliation":[{"name":"Caritas Institute of Higher Education, Hong Kong"}]},{"given":"Tak-Lam","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong"}]}],"member":"179","published-online":{"date-parts":[[2016,11]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"165","article-title":"ZhihuRank: A topic-sensitive expert finding algorithm in community question answering websites","author":"Liu X.","year":"2015","unstructured":"LiuX., YeS., LiX., LuoY. and RaoY., ZhihuRank: A topic-sensitive expert finding algorithm in community question answering websites, in Proceedings of the 14th International Conference on Web-based Learning (ICWL), 2015, pp. 165\u2013173.","journal-title":"Proceedings of the 14th International Conference on Web-based Learning (ICWL)"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.2307\/41703503"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.3115\/1599081.1599144"},{"key":"e_1_3_2_5_2","first-page":"183","article-title":"Finding high-quality content in social media","author":"Agichtein E.","year":"2008","unstructured":"AgichteinE., CastilloC., DonatoD., GionisA. and Mishne.G., Finding high-quality content in social media, in Proceedings of the 1st ACM International Conference on Web Search and Data Mining (WSDM), 2008, pp. 183\u2013194.","journal-title":"Proceedings of the 1st ACM International Conference on Web Search and Data Mining (WSDM)"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7552(98)00110-X"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/324133.324140"},{"key":"e_1_3_2_8_2","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"Blei D.M.","year":"2003","unstructured":"BleiD.M., NgA.Y. and JordanM.I., Latent dirichlet allocation, Journal of Machine Learning Research3 (2003), 993\u20131022.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401994"},{"key":"e_1_3_2_10_2","first-page":"919","article-title":"Discovering authorities in question answer communities by using link analysis","author":"Jurczyk P.","year":"2007","unstructured":"JurczykP. and AgichteinE., Discovering authorities in question answer communities by using link analysis, in Proceedings of the ACM 16th Conference on Information and Knowledge Management (CIKM), 2007, pp. 919\u2013922.","journal-title":"Proceedings of the ACM 16th Conference on Information and Knowledge Management (CIKM)"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242603"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458204"},{"key":"e_1_3_2_13_2","first-page":"315","article-title":"Finding experts in community-based question answering services","author":"Liu X.","year":"2005","unstructured":"LiuX., CroftW.B. and KollM., Finding experts in community-based question answering services, in Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management (CIKM), 2005, pp. 315\u2013316.","journal-title":"Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management (CIKM)"},{"key":"e_1_3_2_14_2","first-page":"84","article-title":"Finding similar questions in large question and answer archives","author":"Jeon J.","year":"2005","unstructured":"JeonJ., CroftW.B. and LeeJ.H., Finding similar questions in large question and answer archives, in Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), 2005, pp. 84\u201390.","journal-title":"Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM)"},{"key":"e_1_3_2_15_2","first-page":"1425","article-title":"Improving question recommendation by exploiting information need","author":"Li S.","year":"2011","unstructured":"LiS. and ManandharS., Improving question recommendation by exploiting information need, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT), 2011, pp. 1425\u20131434.","journal-title":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT)"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-012-9188-x"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/1454008.1454026"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526942"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718520"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/2396761.2398493"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/511446.511513"},{"key":"e_1_3_2_22_2","first-page":"776","article-title":"Topic-level expert modeling in community question answering","author":"Zhao T.","year":"2013","unstructured":"ZhaoT., BianN., LiC. and LiM., Topic-level expert modeling in community question answering, in SIAM International Conference on Data Mining (SDM), 2013, pp. 776\u2013784.","journal-title":"SIAM International Conference on Data Mining (SDM)"},{"key":"e_1_3_2_23_2","first-page":"159","article-title":"User reputation in a comment rating environment","author":"Chen B.-C.","year":"2011","unstructured":"ChenB.-C., GuoJ., TsengB. and YangJ., User reputation in a comment rating environment, in Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2011, pp. 159\u2013167.","journal-title":"Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935843"},{"key":"e_1_3_2_25_2","first-page":"99","article-title":"CQARank: Jointly model topics and expertise in community question answering","author":"Liu Y.","year":"2013","unstructured":"LiuY., QiuM., GottipatiS., ZhuF., JiangJ., SunH. and ChenZ., CQARank: Jointly model topics and expertise in community question answering, in Proceedings of the 22nd International Conference on Information and Knowledge Management (CIKM), 2013, pp. 99\u2013108.","journal-title":"Proceedings of the 22nd International Conference on Information and Knowledge Management (CIKM)"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v31i3.2303"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187923"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2013.05.006"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/2660517.2660519"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2610525"},{"key":"e_1_3_2_31_2","first-page":"2425","article-title":"Zitnick and D. Parikh, VQA: Visual question answering","author":"Antol S.","year":"2015","unstructured":"AntolS., AgrawalA., LuJ., MitchellM., BatraD. and LawrenceC., Zitnick and D. Parikh, VQA: Visual question answering, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015, pp. 2425\u20132433.","journal-title":"Proceedings of the IEEE International Conference on Computer Vision (ICCV)"},{"key":"e_1_3_2_32_2","first-page":"2935","article-title":"Exploring models and data for image question answering","author":"Ren M.","year":"2015","unstructured":"RenM., KirosR. and ZemelR., Exploring models and data for image question answering, in Advances in Neural Information Processing Systems (NIPS), 2015, pp. 2935\u20132943.","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"e_1_3_2_33_2","first-page":"1","article-title":"Ask your neurons: A neural-based approach to answering questions about images","author":"Malinowski M.","year":"2015","unstructured":"MalinowskiM., RohrbachM. and FritzM., Ask your neurons: A neural-based approach to answering questions about images, in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015, pp. 1\u20139.","journal-title":"Proceedings of the IEEE International Conference on Computer Vision (ICCV)"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767596"},{"key":"e_1_3_2_35_2","unstructured":"NorrisJ.R. Markov chains Cambridge University Press 1998."},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0307752101"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBC.2015.2419824"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-141378"},{"key":"e_1_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2381872"},{"key":"e_1_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxu022"},{"key":"e_1_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-012-1247-7"},{"key":"e_1_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.04.022"},{"key":"e_1_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2015.1"},{"key":"e_1_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-013-0221-9"},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2013.09.024"},{"key":"e_1_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2015.91"},{"key":"e_1_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.05.007"},{"key":"e_1_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.12.059"},{"key":"e_1_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2015.91"},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2015.03.001"},{"key":"e_1_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.05.009"},{"key":"e_1_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.10.040"},{"key":"e_1_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2015.03.013"},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2527796"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169094","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-169094","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T05:24:22Z","timestamp":1770614662000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-169094"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11]]},"references-count":53,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2016,11]]}},"alternative-id":["10.3233\/JIFS-169094"],"URL":"https:\/\/doi.org\/10.3233\/jifs-169094","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11]]}}}