{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T20:37:16Z","timestamp":1775421436255,"version":"3.50.1"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2019,3,12]],"date-time":"2019-03-12T00:00:00Z","timestamp":1552348800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Doctoral Foundation of Shandong Jianzhu University","award":["XNBS1523"],"award-info":[{"award-number":["XNBS1523"]}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2016FM19"],"award-info":[{"award-number":["ZR2016FM19"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61503220"],"award-info":[{"award-number":["61503220"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100009329","name":"Scientific Research and Technology Development Program of Guangxi","doi-asserted-by":"crossref","award":["2018GGX106006"],"award-info":[{"award-number":["2018GGX106006"]}],"id":[{"id":"10.13039\/501100009329","id-type":"DOI","asserted-by":"crossref"}]},{"name":"A Project of Shandong Province Higher Educational Science and Technology Program","award":["J17KA070"],"award-info":[{"award-number":["J17KA070"]}]},{"name":"Jinan Science and Technology Project","award":["201704065"],"award-info":[{"award-number":["201704065"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s10489-019-01443-2","type":"journal-article","created":{"date-parts":[[2019,3,12]],"date-time":"2019-03-12T19:48:07Z","timestamp":1552420087000},"page":"3146-3157","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":54,"title":["Collaborative filtering recommendation algorithm integrating time windows and rating predictions"],"prefix":"10.1007","volume":"49","author":[{"given":"Pengfei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9532-7158","authenticated-orcid":false,"given":"Zhijun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yigui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,3,12]]},"reference":[{"issue":"2","key":"1443_CR1","doi-asserted-by":"publisher","first-page":"350","DOI":"10.3724\/SP.J.1001.2009.00350","volume":"20","author":"LO Cnnic","year":"2009","unstructured":"Cnnic LO, Beijing B (2009) Comparison study of internet recommendation system [J]. J Softw 20(2):350\u2013362","journal-title":"J Softw"},{"issue":"C","key":"1443_CR2","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.dss.2014.11.003","volume":"69","author":"J Aligon","year":"2015","unstructured":"Aligon J, Gallinucci E, Golfarelli M et al (2015) A collaborative filtering approach for recommending OLAP sessions [J]. Decis Support Syst 69(C):20\u201330","journal-title":"Decis Support Syst"},{"issue":"3","key":"1443_CR3","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.knosys.2013.11.006","volume":"56","author":"H Liu","year":"2014","unstructured":"Liu H, Hu Z, Mian A et al (2014) A new user similarity model to improve the accuracy of collaborative filtering [J]. Knowl-Based Syst 56(3):156\u2013166","journal-title":"Knowl-Based Syst"},{"issue":"C","key":"1443_CR4","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1016\/j.eswa.2016.09.019","volume":"66","author":"D S\u00e1nchez-Moreno","year":"2016","unstructured":"S\u00e1nchez-Moreno D, Gil Gonz\u00e1lez AB, Mu\u00f1oz Vicente MD et al (2016) A collaborative filtering method for music recommendation using playing coefficients for artists and users [J]. Expert Syst Appl 66(C):234\u2013244","journal-title":"Expert Syst Appl"},{"key":"1443_CR5","first-page":"367","volume-title":"The More the Merrier-Federated Learning From Local Sphere Recommendations [C]\/\/International Cross-Domain Conference for Machine Learning and Knowledge Extraction","author":"B Malle","year":"2017","unstructured":"Malle B, Giuliani N, Kieseberg P et al (2017) The More the Merrier-Federated Learning From Local Sphere Recommendations [C]\/\/International Cross-Domain Conference for Machine Learning and Knowledge Extraction. Springer, Cham, pp 367\u2013373"},{"issue":"9","key":"1443_CR6","first-page":"1767","volume":"38","author":"QL Gao","year":"2015","unstructured":"Gao QL, Ling G, Yang JF et al (2015) A preference elicitation method based on Users' cognitive behavior for context-aware recommender system [J]. Chin J Comput 38(9):1767\u20131776","journal-title":"Chin J Comput"},{"key":"1443_CR7","unstructured":"Jahrer M, T\u00f6scher A, Legenstein R (2010) Combining Predictions for Accurate Recommender Systems [C]\/\/Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM: 693\u2013702"},{"issue":"6","key":"1443_CR8","first-page":"276","volume":"40","author":"LM Xia","year":"2013","unstructured":"Xia LM (2013) Recommendation Research based on improved URP model and K nearest neigh- bors [J]. Comput Sci 40(6):276\u2013278","journal-title":"Comput Sci"},{"issue":"C","key":"1443_CR9","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.ins.2016.02.005","volume":"348","author":"J Lee","year":"2016","unstructured":"Lee J, Lee D, Lee YC et al (2016) Improving the accuracy of top-N, recommendation using a preference model [J]. Inf Sci 348(C):290\u2013304","journal-title":"Inf Sci"},{"issue":"3","key":"1443_CR10","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1007\/s10489-015-0681-y","volume":"43","author":"ZJ Zhang","year":"2015","unstructured":"Zhang ZJ, Liu H (2015) Social recommendation model combining trust propagation and sequential behaviors [J]. Appl Intell 43(3):695\u2013706","journal-title":"Appl Intell"},{"issue":"1","key":"1443_CR11","first-page":"1","volume":"23","author":"LC Wang","year":"2012","unstructured":"Wang LC, Meng XW, Zhang YJ (2012) Context-aware recommender systems [J]. Ruanjian Xuebao\/J Softw 23(1):1\u201320","journal-title":"Ruanjian Xuebao\/J Softw"},{"issue":"6","key":"1443_CR12","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1007\/s10489-014-0640-z","volume":"43","author":"H Liu","year":"2015","unstructured":"Liu H, Zhang P, Hu B et al (2015) A novel approach to task assignment in a cooperative multi-agent design system. Appl Intell 43(6):162\u2013175 SCI","journal-title":"Appl Intell"},{"issue":"3","key":"1443_CR13","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/s10489-013-0471-3","volume":"40","author":"P Zhang","year":"2014","unstructured":"Zhang P, Liu H, Ding YH (2014) Dynamic bee Colony algorithm based on multi-species co-evolution. Appl Intell 40(3):427\u2013440 SCI","journal-title":"Appl Intell"},{"key":"1443_CR14","unstructured":"Ma XM (2014) Research and Implementation of the collaborative recommendation based on the ABC algorithm [D]. China University of Petroleum:1\u201352"},{"key":"1443_CR15","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/j.eswa.2017.12.020","volume":"97","author":"I Portugal","year":"2018","unstructured":"Portugal I, Alencar P, Cowan D (2018) The use of machine learning algorithms in recommender systems: a systematic review [J]. Expert Syst Appl 97:205\u2013227","journal-title":"Expert Syst Appl"},{"key":"1443_CR16","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.ins.2017.12.046","volume":"s433","author":"LMD Campos","year":"2018","unstructured":"Campos LMD, Fern\u00e1ndez-Luna JM, Huete JF et al (2018) Positive unlabeled learning for building recommender systems in a parliamentary setting [J]. Inf Sci s433:221\u2013232","journal-title":"Inf Sci"},{"issue":"2","key":"1443_CR17","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1109\/TSMCA.2012.2210409","volume":"43","author":"J Wu","year":"2013","unstructured":"Wu J, Chen L, Feng Y et al (2013) Predicting quality of Service for Selection by neighborhood- based collaborative filtering [J]. IEEE Trans Syst Man Cybernet Syst 43(2):428\u2013439","journal-title":"IEEE Trans Syst Man Cybernet Syst"},{"issue":"7","key":"1443_CR18","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1109\/TNNLS.2012.2197827","volume":"23","author":"N Guan","year":"2012","unstructured":"Guan N, Tao D, Luo Z et al (2012) Online nonnegative matrix factorization with robust stochastic approximation.[J]. IEEE Trans Neural Netw Learn Syst 23(7):1087\u20131099","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"1443_CR19","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.knosys.2015.06.026","volume":"89","author":"Q Wu","year":"2015","unstructured":"Wu Q, Tan M, Li X et al (2015) NMFE-SSCC: non-negative matrix factorization Ensemble for Semi-supervised Collective Classification [J]. Knowl-Based Syst 89:160\u2013172","journal-title":"Knowl-Based Syst"},{"issue":"8","key":"1443_CR20","doi-asserted-by":"publisher","first-page":"79","DOI":"10.14257\/ijca.2014.7.8.08","volume":"7","author":"ZJ Zhang","year":"2014","unstructured":"Zhang ZJ, Liu H (2014) Application and Research of improved probability matrix factorization techniques in collaborative filtering. Int J control autom [J]. Int J Contrl Autom 7(8):79\u201392","journal-title":"Int J Contrl Autom"},{"issue":"5","key":"1443_CR21","first-page":"285","volume":"44","author":"FY Liu","year":"2017","unstructured":"Liu FY, Gao XQ, Zhang Z (2017) Improved Bayesian probabilistic model based recommender system [J]. Comput Sci 44(5):285\u2013289","journal-title":"Comput Sci"},{"issue":"C","key":"1443_CR22","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.knosys.2015.12.018","volume":"97","author":"A Hernando","year":"2016","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","journal-title":"Knowl-Based Syst"},{"key":"1443_CR23","unstructured":"Ali M, Son LH, Thanh ND et al. (2017) A neutrosophic recommender system for medical diagnosis based on algebraic neutrosophic measures [J]. Appl Soft Comput: 1054\u20131071"},{"key":"1443_CR24","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.is.2014.10.001","volume":"58","author":"LH Son","year":"2016","unstructured":"Son LH (2016) Dealing with the new user cold-start problem in recommender systems: a comparative review [J]. Inf Syst 58:87\u2013104","journal-title":"Inf Syst"},{"issue":"1","key":"1443_CR25","doi-asserted-by":"publisher","first-page":"776","DOI":"10.2991\/ijcis.2017.10.1.52","volume":"10","author":"R Yera","year":"2017","unstructured":"Yera R, Martinez L (2017) Fuzzy tools in recommender systems: a survey [J]. Int J Comput Intell Syst 10(1):776\u2013803","journal-title":"Int J Comput Intell Syst"},{"key":"1443_CR26","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.eswa.2016.10.024","volume":"69","author":"YD Seo","year":"2017","unstructured":"Seo YD, Kim YG, Lee E et al (2017) Personalized recommender system based on friendship strength in social network services[J]. Expert Syst Appl 69:135\u2013148","journal-title":"Expert Syst Appl"},{"issue":"5","key":"1443_CR27","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1007\/s10618-017-0499-9","volume":"31","author":"A Salah","year":"2017","unstructured":"Salah A, Nadif M (2017) Social regularized von Mises\u2013fisher mixture model for item Recommen- dation[J]. Data Min Knowl Disc 31(5):1281\u20131241","journal-title":"Data Min Knowl Disc"},{"issue":"14","key":"1443_CR28","doi-asserted-by":"publisher","first-page":"e3900","DOI":"10.1002\/cpe.3900","volume":"29","author":"L Cui","year":"2017","unstructured":"Cui L, Dong L, Fu X et al (2017) A video recommendation algorithm based on the combination of video content and social network[J]. Concurr Comput: Pract Exper 29(14):e3900","journal-title":"Concurr Comput: Pract Exper"},{"issue":"9","key":"1443_CR29","doi-asserted-by":"publisher","first-page":"11585","DOI":"10.1007\/s11042-015-2732-0","volume":"76","author":"W Li","year":"2017","unstructured":"Li W, Ye Z, Xin M et al (2017) Social recommendation based on trust and influence in SNS environments[J]. Multimed Tools Appl 76(9):11585\u201311602","journal-title":"Multimed Tools Appl"},{"issue":"3","key":"1443_CR30","doi-asserted-by":"publisher","first-page":"P659","DOI":"10.1007\/s10489-017-0928-x","volume":"47","author":"ZJ Zhang","year":"2017","unstructured":"Zhang ZJ, Xu GW, Zhang PF et al (2017) Personalized recommendation algorithm for social networks based on comprehensive trust[J]. Appl Intell 47(3):P659\u2013P669","journal-title":"Appl Intell"},{"issue":"11","key":"1443_CR31","first-page":"2467","volume":"34","author":"YU Hong","year":"2013","unstructured":"Hong YU, Jun-Hua LI (2013) Collaborative filtering recommendation algorithm using social and tag information[J]. J Chin Comput Syst 34(11):2467\u20132471","journal-title":"J Chin Comput Syst"},{"issue":"2","key":"1443_CR32","first-page":"214","volume":"34","author":"N Reyn","year":"2007","unstructured":"Reyn N, Shinsuke N, Jun M et al (2007) Tag-based contextual collaborative filtering[J]. IAENG Int J Comput Sci 34(2):214\u2013219","journal-title":"IAENG Int J Comput Sci"},{"key":"1443_CR33","doi-asserted-by":"crossref","unstructured":"Koren Y (2009) Collaborative Filtering With Temporal Dynamics[C]. knowledge discovery and data mining: 447-456","DOI":"10.1145\/1557019.1557072"},{"key":"1443_CR34","doi-asserted-by":"crossref","unstructured":"Hosseini SA, Alizadeh K, Khodadadi A et al. (2017) Recurrent Poisson Factorization for Temporal Recommendation[J] knowledge discovery and data mining: 847-855","DOI":"10.1145\/3097983.3098197"},{"key":"1443_CR35","doi-asserted-by":"crossref","unstructured":"Chua FC, Oentaryo RJ, Lim E et al. (2013) Modeling temporal adoptions using dynamic matrix factorization[C] international conference on data mining: 91-100","DOI":"10.1109\/ICDM.2013.25"},{"key":"1443_CR36","first-page":"507","volume":"13","author":"Z Ghahramani","year":"2001","unstructured":"Ghahramani Z, Beal MJ (2001) Propagation algorithms for Variational Bayesian learning[J]. Adv Neural Inf Proces Syst 13:507\u2013513","journal-title":"Adv Neural Inf Proces Syst"},{"issue":"5","key":"1443_CR37","first-page":"520","volume":"46","author":"Y Hong","year":"2010","unstructured":"Hong Y, Li ZYA (2010) Collaborative filtering recommendation algorithm based on forgetting curve[J]. J Nanjing Univ 46(5):520\u2013527","journal-title":"J Nanjing Univ"},{"issue":"2","key":"1443_CR38","first-page":"206","volume":"40","author":"J Shen","year":"2013","unstructured":"Shen J (2013) Dynamic collaborative filtering recommender model based on rolling time windows and its algorithm[J]. Comput Sci 40(2):206\u2013209","journal-title":"Comput Sci"},{"key":"1443_CR39","unstructured":"Liu Q (2016) The Research of the collaborative filtering recommendation algorithm based on time weighted and rating predicted[D]. Guizhou Normal University:1\u201340"},{"issue":"2","key":"1443_CR40","first-page":"163","volume":"41","author":"YX Zhu","year":"2012","unstructured":"Zhu YX (2012) Evaluation metrics for recommender systems[J]. Dianzi Keji Daxue Xuebao\/journal Univ Electron Sci Technol Chin 41(2):163\u2013175","journal-title":"Dianzi Keji Daxue Xuebao\/journal Univ Electron Sci Technol Chin"},{"issue":"8","key":"1443_CR41","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems[J]. Computer 42(8):30\u201337","journal-title":"Computer"},{"key":"1443_CR42","doi-asserted-by":"crossref","unstructured":"Kang JH, Lerman K (2013) LA-CTR: A limited attention collaborative topic regression for social media[J]: 1128\u20131134","DOI":"10.1609\/aaai.v27i1.8451"},{"issue":"PA","key":"1443_CR43","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.engappai.2015.08.010","volume":"46","author":"M Ranjbar","year":"2015","unstructured":"Ranjbar M, Moradi P, Azami M et al (2015) An Imputation-Based Matrix Factorization Method for Improving Accuracy of Collaborative Filtering Systems[J]. Eng Appl Artif Intell 46(PA):58\u201366","journal-title":"Eng Appl Artif Intell"},{"key":"1443_CR44","unstructured":"Gao L, Gao MT (2018) Hybrid Recommendation Algorithm Based on Time Weighted and LDA Clustering[J\/OL]. Computer Enginerring and Application:1-10[2018-11-27]. http:\/\/kns.cnki.net\/kcms\/detail\/11.2127.TP.20181120.1652.005.html"},{"key":"1443_CR45","first-page":"78","volume":"3","author":"B Zhang","year":"2017","unstructured":"Zhang B (2017) A recommendation algorithm based on probabilistic matrix factorization[J]. J Xi'an Aeronaut Univ 3:78\u201383","journal-title":"J Xi'an Aeronaut Univ"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-019-01443-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10489-019-01443-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-019-01443-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T18:40:27Z","timestamp":1663094427000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10489-019-01443-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,12]]},"references-count":45,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["1443"],"URL":"https:\/\/doi.org\/10.1007\/s10489-019-01443-2","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,12]]},"assertion":[{"value":"12 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}