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By the user preference model (UPM) based on Bayesian network with a latent variable (BNLV), uncertain relationships among relevant attributes of users, objects and ratings could be represented, in which user preference is represented by the latent variable. In this paper, we propose an online approach for parameter learning of UPM. Specifically, we first extend the classic Voting EM algorithm by using Bayesian estimation in terms of the situation with latent variables. Consequently, we propose the algorithm for learning parameters of UPM from few and sequentially-changing rating data to reflect the gradually changing preferences. Finally, we test the effectiveness of our proposed algorithm by conducting experiments on various datasets. Experimental results demonstrate the superiority of our method in various measurements.<\/jats:p>","DOI":"10.1142\/s021848852250012x","type":"journal-article","created":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T16:43:51Z","timestamp":1650473031000},"page":"285-310","source":"Crossref","is-referenced-by-count":7,"title":["Online Learning of Parameters for Modeling User Preference Based on Bayesian Network"],"prefix":"10.1142","volume":"30","author":[{"given":"Yirong","family":"Kan","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, Kunming, China"},{"name":"Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3641-1461","authenticated-orcid":false,"given":"Kun","family":"Yue","sequence":"additional","affiliation":[{"name":"Key Lab of Intelligent Systems and Computing of Yunnan Province, Yunnan University, Kunming, China"},{"name":"School of Information Science and Engineering, Yunnan University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Lab of Intelligent Systems and Computing of Yunnan Province, Yunnan University, Kunming, China"},{"name":"School of Information Science and Engineering, Yunnan University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Fu","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering and Automation, Kunming University of Science and Engineering, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengbao","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,4,18]]},"reference":[{"key":"S021848852250012XBIB001","first-page":"3","volume-title":"Proc. 13th Conf. on Uncertainty in Artificial Intelligence","author":"Bauer E."},{"key":"S021848852250012XBIB002","doi-asserted-by":"publisher","DOI":"10.1145\/2493259"},{"key":"S021848852250012XBIB003","first-page":"993","volume":"3","author":"Blei D.","year":"2003","journal-title":"J. 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