{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T21:35:47Z","timestamp":1774042547206,"version":"3.50.1"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T00:00:00Z","timestamp":1603929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T00:00:00Z","timestamp":1603929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Fundamental Research Funds for the Central Universities and National Key Research and Development Program of China","award":["2018YFC0832000"],"award-info":[{"award-number":["2018YFC0832000"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s11042-020-10129-8","type":"journal-article","created":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T20:02:40Z","timestamp":1604001760000},"page":"19035-19050","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The multimedia recommendation algorithm based on probability graphical model"],"prefix":"10.1007","volume":"81","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6475-3146","authenticated-orcid":false,"given":"Chen","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunhua","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shifeng","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haofei","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,29]]},"reference":[{"issue":"2","key":"10129_CR1","doi-asserted-by":"publisher","first-page":"87","DOI":"10.3233\/FI-2019-1795","volume":"166","author":"O Abu Arqub","year":"2019","unstructured":"Abu Arqub O (2019) Application of residual power series method for the solution of time-fractional schr\u00f6dinger equations in one-dimensional space[J]. Fundam Informaticae 166(2):87\u2013110","journal-title":"Fundam Informaticae"},{"issue":"2","key":"10129_CR2","doi-asserted-by":"publisher","first-page":"111","DOI":"10.3233\/FI-2019-1796","volume":"166","author":"O Abu Arqub","year":"2019","unstructured":"Abu Arqub O (2019) Numerical algorithm for the solutions of fractional order systems of dirichlet function types with comparative analysis[J]. Fundam Informaticae 166(2):111\u2013137","journal-title":"Fundam Informaticae"},{"issue":"6","key":"10129_CR3","doi-asserted-by":"publisher","first-page":"13583","DOI":"10.1007\/s10586-018-2010-9","volume":"22","author":"G Anitha","year":"2019","unstructured":"Anitha G, Baghavathi Priya S (2019) Posture based health monitoring and unusual behavior recognition system for elderly using dynamic Bayesian network[J]. Clust Comput 22(6):13583\u201313590","journal-title":"Clust Comput"},{"issue":"1","key":"10129_CR4","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1109\/MSP.2017.2762355","volume":"35","author":"A Arnab","year":"2018","unstructured":"Arnab A, Zheng S, Jayasumana S et al (2018) Conditional random fields meet deep neural networks for semantic segmentation: combining probabilistic graphical models with deep learning for structured prediction[J]. IEEE Signal Process Mag 35(1):37\u201352","journal-title":"IEEE Signal Process Mag"},{"issue":"3","key":"10129_CR5","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.ipm.2015.10.001","volume":"52","author":"M Bielikova","year":"2016","unstructured":"Bielikova M, Kassak, et al (2016) Personalized hybrid recommendation for group of users: Top-N multimedia recommender[J]. Inf Process Manag 52(3):459\u2013477","journal-title":"Inf Process Manag"},{"issue":"1","key":"10129_CR6","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/TMM.2007.911226","volume":"10","author":"S Boutemedjet","year":"2007","unstructured":"Boutemedjet S, Ziou D (2007) A graphical model for context-aware visual content recommendation[J]. IEEE Trans Multimedia 10(1):52\u201362","journal-title":"IEEE Trans Multimedia"},{"key":"10129_CR7","doi-asserted-by":"crossref","unstructured":"Chen J, Zhang H, He X et al (2017) Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention[C]. International ACM SIGIR conference on research and development in information retrieval, pp 335\u2013344","DOI":"10.1145\/3077136.3080797"},{"issue":"9","key":"10129_CR8","doi-asserted-by":"publisher","first-page":"1459","DOI":"10.1016\/j.future.2017.07.017","volume":"86","author":"L Cui","year":"2018","unstructured":"Cui L, Huang W, Yan Q et al (2018) A novel context-aware recommendation algorithm with two-level SVD in social networks[J]. Future Gener Comput Syst 86(9):1459\u20131470","journal-title":"Future Gener Comput Syst"},{"issue":"9","key":"10129_CR9","first-page":"3900","volume":"29","author":"Oscar Fontenla-Romero","year":"2017","unstructured":"Fontenla-Romero Oscar, S\u00e1nchez Beatriz P\u00e9rez, Guijarro-Berdi\u00f1as Bertha (2017) LANN-SVD: A non-iterative SVD-based learning algorithm for one-layer neural networks[J]. IEEE Trans Neural Netw Learn Syst 29(9):3900\u20133905","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"3","key":"10129_CR10","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1109\/TCYB.2018.2795041","volume":"49","author":"M Fu","year":"2019","unstructured":"Fu M, Qu H, Yi Z, et al (2019) A Novel Deep Learning-Based Collaborative Filtering Model for Recommendation System[J]. IEEE Transactions on Cybernetics 49(3):1084\u20131096","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"1","key":"10129_CR11","first-page":"2725","volume":"16","author":"C Gherardo Varando","year":"2015","unstructured":"Gherardo Varando C, Bielza P (2015) Decision boundary for discrete bayesian network classifiers[J]. J Mach Learn Res 16(1):2725\u20132749","journal-title":"J Mach Learn Res"},{"issue":"6","key":"10129_CR12","first-page":"32","volume":"134","author":"H Hameed Farhan, Mahmuod","year":"2016","unstructured":"Hameed Farhan, Mahmuod H, Al-Muifraje TR, Saeed (2016) Face recognition using maximum variance and SVD of order statistics with only three states of hidden markov model[J]. Int J Comput Appl 134(6):32\u201339","journal-title":"Int J Comput Appl"},{"key":"10129_CR13","doi-asserted-by":"crossref","unstructured":"Hernando A, Ortega F (2016) A non-negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model[J]. Knowl Based Syst 97(C):188\u2013202","DOI":"10.1016\/j.knosys.2015.12.018"},{"issue":"4","key":"10129_CR14","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1109\/TKDE.2017.2777462","volume":"30","author":"F Huang","year":"2018","unstructured":"Huang F, Chen S (2018) Learning dynamic conditional gaussian graphical models[J]. IEEE Trans Knowl Data Eng 30(4):703\u2013716","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"7","key":"10129_CR15","first-page":"3034","volume":"29","author":"F Huang","year":"2018","unstructured":"Huang F, Chen S, Huang SJ (2018) Joint estimation of multiple conditional gaussian graphical models[J]. IEEE Trans Neural Netw Learn Syst 29(7):3034\u20133046","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"27","key":"10129_CR16","first-page":"1","volume":"9","author":"T Ji Jingzhou","year":"2019","unstructured":"Ji Jingzhou T, Luogeng H (2019) Improvement and implementation of SVD algorithm based on mass date[J]. Electron Des Eng 9(27):1\u20135","journal-title":"Electron Des Eng"},{"key":"10129_CR17","unstructured":"Khaled, Aboagiza, Saied abd el-atty, Walid El-Shafai (2019) Efficient SVD-based audio watermarking technique in FRT domain[J]. Multimed Tools Appl, pp 1\u201332"},{"issue":"17\u201318","key":"10129_CR18","doi-asserted-by":"publisher","first-page":"5037","DOI":"10.1080\/00207543.2017.1287443","volume":"55","author":"K Kim","year":"2017","unstructured":"Kim K, Ahn H (2017) Recommender systems using cluster-indexing collaborative filtering and social data analytics[J]. Int J Prod Res 55(17\u201318):5037\u20135049","journal-title":"Int J Prod Res"},{"issue":"1","key":"10129_CR19","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1007\/s12652-019-01226-0","volume":"11","author":"S Lee","year":"2020","unstructured":"Lee S (2020) Using entropy for similarity measures in collaborative filtering[J]. J Ambient Intell Humaniz Comput 11(1):363\u2013374","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"5","key":"10129_CR20","doi-asserted-by":"crossref","first-page":"1068","DOI":"10.1109\/TCYB.2014.2343982","volume":"45","author":"B Li","year":"2017","unstructured":"Li B, Zhu X, Li R et al (2017) Rating knowledge sharing in cross-domain collaborative filtering[J]. IEEE Trans Cybern 45(5):1068\u20131082","journal-title":"IEEE Trans Cybern"},{"issue":"1","key":"10129_CR21","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1007\/s11042-017-5291-8","volume":"78","author":"ZS Li","year":"2019","unstructured":"Li ZS, Liu B, Yan C (2019) CFMDA: collaborative filtering-based MiRNA-disease association prediction[J]. Multimedia Tools Appl 78(1):605\u2013618","journal-title":"Multimedia Tools Appl"},{"issue":"1","key":"10129_CR22","first-page":"32","volume":"33","author":"LI Lin","year":"2020","unstructured":"Lin LI, Peipei W, Peng Gu, Qing Xie (2020) Distributed singular value decomposition recommendation algorithm based on LU decomposition and alternating least square[J]. Pattern Recogn Artif Intell 33(1):32\u201340","journal-title":"Pattern Recogn Artif Intell"},{"issue":"1","key":"10129_CR23","first-page":"32","volume":"33","author":"LI Lin","year":"2020","unstructured":"Lin LI, Peipei W, Peng Gu, Qing Xie (2020) Distributed singular value decomposition recommendation algorithm based on LU decomposition and alternating least square [J]. Pattern Recognit Artif Intell 33(1):32\u201340","journal-title":"Pattern Recognit Artif Intell"},{"issue":"41","key":"10129_CR24","first-page":"1","volume":"9","author":"L Liu Jianwei","year":"2014","unstructured":"Liu Jianwei L, Haien L (2014) Representation theory of probabilistic graphical models[J]. Comput Sci 9(41):1\u201317","journal-title":"Comput Sci"},{"issue":"44","key":"10129_CR25","first-page":"1219","volume":"5","author":"L Liu Jianwei","year":"2016","unstructured":"Liu Jianwei L, Haien Z, Jiajia L (2016) A survey on the representation theory of probabilistic graphical models[J]. Acta Electron Sin 5(44):1219\u20131226","journal-title":"Acta Electron Sin"},{"key":"10129_CR26","unstructured":"Lu Xichen (2016) Research on optimization algorithm based on probabilistic graphical model [D]. Dissertation, University of Qingdao"},{"key":"10129_CR27","doi-asserted-by":"crossref","unstructured":"Md Vasimuddin SP, Chockalingam S Aluru (2018) A parallel algorithm for Bayesian Network inference using arithmetic circuits[C] 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE Computer Society, Washington, D.C., pp 34\u201343","DOI":"10.1109\/IPDPS.2018.00014"},{"key":"10129_CR28","doi-asserted-by":"crossref","unstructured":"Mingliang Zhou Q, Mao C Zhong (2019) Spatial error concealment by jointing gauss bayes model and SVD for high efficiency video coding[J]. Int J Pattern Recognit Artif Intell 33(14)","DOI":"10.1142\/S0218001419540375"},{"issue":"3\/4","key":"10129_CR29","first-page":"347","volume":"9","author":"F Musella","year":"2017","unstructured":"Musella F, Mugion RG, Raharjo H et al (2017) Reconciling internal and external satisfaction through probabilistic graphical models[J]. Int J Qual Serv Sci 9(3\/4):347\u2013370","journal-title":"Int J Qual Serv Sci"},{"key":"10129_CR30","doi-asserted-by":"crossref","unstructured":"Rohit, Singh AK (2018) Accuracy enhancement of collaborative filtering recommender system for blogs using latent semantic indexing, Conference on Information & Communication Technology. IEEE, Piscataway","DOI":"10.1109\/INFOCOMTECH.2017.8340646"},{"key":"10129_CR31","doi-asserted-by":"crossref","unstructured":"Roy S, Lane T, Wernerwashburne M (2009) Learning structurally consistent undirected probabilistic graphical models. [C]International Conference on Machine Learning International Conference on Machine Learning, pp 905\u2013912","DOI":"10.1145\/1553374.1553490"},{"issue":"1","key":"10129_CR32","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1109\/MSP.2017.2763440","volume":"35","author":"M Siqi Nie","year":"2018","unstructured":"Siqi Nie M, Zheng Q (2018) The deep regression Bayesian Network and its applications: Probabilistic deep learning for computer vision[J]. IEEE Signal Process Mag 35(1):101\u2013111","journal-title":"IEEE Signal Process Mag"},{"issue":"5","key":"10129_CR33","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1109\/TKDE.2019.2893638","volume":"32","author":"J Tang","year":"2020","unstructured":"Tang J, Du X, He X et al (2020) Adversarial training towards robust multimedia recommender system[J]. IEEE Trans Knowl Data Eng 32(5):855\u2013867","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"9","key":"10129_CR34","first-page":"146","volume":"53","author":"C Wang Dong","year":"2017","unstructured":"Wang Dong C, Zhi Y, Yawei Wenjing L (2017) Trust-driven recommendation method using Bayesian network in social networks. Comput Eng Appl 53(9):146\u2013151","journal-title":"Comput Eng Appl"},{"issue":"99","key":"10129_CR35","first-page":"1","volume":"10","author":"X Wu","year":"2015","unstructured":"Wu X, Cheng B, Chen JL (2015) Collaborative filtering service recommendation based on a novel similarity computation method[J]. IEEE Trans Serv Comput 10(99):1\u20131","journal-title":"IEEE Trans Serv Comput"},{"key":"10129_CR36","unstructured":"Wu X, Yuan X, Duan C, et al (2018) A novel collaborative filtering algorithm of machine learning by integrating restricted Boltzmann machine and trust information[J]. Neural Comput Appl (5):1\u20138"},{"issue":"14","key":"10129_CR37","first-page":"64","volume":"7","author":"C Xiangqian","year":"2015","unstructured":"Xiangqian C, Ping W, Kai J, Shiqun N (2015) Collaborative filtering recommendation algorithm based on Bayesian network [J]. Softw Guide 7(14):64\u201366","journal-title":"Softw Guide"},{"issue":"11","key":"10129_CR38","doi-asserted-by":"publisher","first-page":"2286","DOI":"10.1109\/TMC.2015.2398431","volume":"14","author":"Z Xiao","year":"2015","unstructured":"Xiao Z, Wen H, Markham A et al (2015) Indoor tracking using undirected graphical models[J]. IEEE Trans Mob Comput 14(11):2286\u20132301","journal-title":"IEEE Trans Mob Comput"},{"key":"10129_CR39","doi-asserted-by":"crossref","unstructured":"Xu Q, Shen F, Liu L et al (2018) GraphCAR: Content-aware Multimedia Recommendation with Graph Autoencoder[C]. International acm sigir conference on research and development in information retrieval, pp 981\u2013984","DOI":"10.1145\/3209978.3210117"},{"issue":"1","key":"10129_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TCSS.2017.2665122","volume":"4","author":"X Yang","year":"2017","unstructured":"Yang X, Liang C, Zhao M et al (2017) Collaborative filtering-based recommendation of online social voting[J]. IEEE Trans Comput Soc Syst 4(1):1\u201313","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"10129_CR41","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.future.2016.06.015","volume":"2017","author":"J Yang","year":"2017","unstructured":"Yang J, Wang H, Lv Z et al (2017) Multimedia recommendation and transmission system based on cloud platform[J]. Future Gener Comput Syst 2017:94\u2013103","journal-title":"Future Gener Comput Syst"},{"issue":"2","key":"10129_CR42","doi-asserted-by":"publisher","first-page":"171","DOI":"10.2174\/2213275910666170110142817","volume":"10","author":"Z Yanjun","year":"2017","unstructured":"Yanjun Z, Youchao S, Yongjin Z (2017) Safety risk assessment of human-computer interaction behavior based on Bayesian Network[J]. Recent Patents Comput Sci 10(2):171\u2013177","journal-title":"Recent Patents Comput Sci"},{"issue":"3","key":"10129_CR43","doi-asserted-by":"publisher","first-page":"1393","DOI":"10.1109\/TII.2018.2856842","volume":"15","author":"Z Yuan","year":"2019","unstructured":"Yuan Z, Ke M, Kong W et al (2019) Collaborative filtering-based electricity plan recommender system[J]. IEEE Trans Industr Inf 15(3):1393\u20131404","journal-title":"IEEE Trans Industr Inf"},{"issue":"3","key":"10129_CR44","doi-asserted-by":"publisher","first-page":"6871","DOI":"10.1007\/s10586-017-1673-y","volume":"22","author":"P Yuhui","year":"2019","unstructured":"Yuhui P, Yuan Z, Huibao Y (2019) Development of a representative driving cycle for urban buses based on the K-means cluster method[J]. Clust Comput 22(3):6871\u20136880","journal-title":"Clust Comput"},{"key":"10129_CR45","doi-asserted-by":"crossref","unstructured":"Zhang Z, Jinquan Ma (2019) Adaptive parameter-tuning stochastic resonance based on SVD and its application in weak IF digital signal enhancement[J]. J Adv Signal Process 2019(1)","DOI":"10.1186\/s13634-019-0617-5"},{"issue":"2","key":"10129_CR46","first-page":"1","volume":"37","author":"D Zhang","year":"2018","unstructured":"Zhang D, Hao C (2018) Local search approximation algorithms for the k-means problem with penalties[J]. J Comb Optim 37(2):1\u201315","journal-title":"J Comb Optim"},{"issue":"5","key":"10129_CR47","first-page":"1","volume":"48","author":"S Zhang","year":"2019","unstructured":"Zhang S, Li S (2019) An iterative algorithm for optimal variable weighting in K-means clustering[J]. Commun Stat Simul Comput 48(5):1\u201320","journal-title":"Commun Stat Simul Comput"},{"key":"10129_CR48","doi-asserted-by":"publisher","first-page":"117749","DOI":"10.1109\/ACCESS.2019.2934898","volume":"2019","author":"Z Zhang","year":"2019","unstructured":"Zhang Z, Sun R, Choo KR et al (2019) A novel social situation analytics-based recommendation algorithm for multimedia social networks[J]. IEEE Access 2019:117749\u2013117760","journal-title":"IEEE Access"},{"key":"10129_CR49","doi-asserted-by":"crossref","unstructured":"Zheleva E, Guiver J, Rodrigues EM (2010) Statistical models of music-listening sessions in social media[C]. International Conference on World Wide Web, pp 1019\u20131028","DOI":"10.1145\/1772690.1772794"},{"key":"10129_CR50","unstructured":"Zhou B, Liu B, Wang D (2019) Clustering analysis of user power interaction behavior based on self-organizing center k-means algorithm[J]. Electric Power Construction 40(1):68\u201376"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10129-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-10129-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-10129-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T08:12:55Z","timestamp":1653034375000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-10129-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,29]]},"references-count":50,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["10129"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-10129-8","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,29]]},"assertion":[{"value":"31 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 August 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 October 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}