{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T08:08:10Z","timestamp":1767168490655,"version":"build-2238731810"},"reference-count":27,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T00:00:00Z","timestamp":1622678400000},"content-version":"vor","delay-in-days":153,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>\n                    Aiming at the problem that the single model of the traditional recommendation system cannot accurately capture user preferences, this paper proposes a hybrid movie recommendation system and optimization method based on weighted classification and user collaborative filtering algorithm. The sparse linear model is used as the basic recommendation model, and the local recommendation model is trained based on user clustering, and the top\u2010\n                    <jats:italic>N<\/jats:italic>\n                    personalized recommendation of movies is realized by fusion with the weighted classification model. According to the item category preference, the scoring matrix is converted into a low\u2010dimensional, dense item category preference matrix, multiple cluster centers are obtained, the distance between the target user and each cluster center is calculated, and the target user is classified into the closest cluster. Finally, the collaborative filtering algorithm is used to predict the scores for the unrated items of the target user to form a recommendation list. The items are clustered through the item category preference, and the high\u2010dimensional rating matrix is converted into a low\u2010dimensional item category preference matrix, which further reduces the sparsity of the data. Experiments based on the Douban movie dataset verify that the recommendation algorithm proposed in this article solves the shortcomings of a single algorithm model to a certain extent and improves the recommendation effect.\n                  <\/jats:p>","DOI":"10.1155\/2021\/4476560","type":"journal-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T20:51:25Z","timestamp":1622753485000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["[Retracted] Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm"],"prefix":"10.1155","volume":"2021","author":[{"given":"Zhenning","family":"Yuan","sequence":"first","affiliation":[]},{"given":"Jong Han","family":"Lee","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5996-8193","authenticated-orcid":false,"given":"Sai","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.5120\/21029-2840"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.1166\/jctn.2018.7450"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1177\/0165551517692955"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2017.03.006"},{"key":"e_1_2_8_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2018.2877208"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.30534\/ijatcse\/2020\/69922020"},{"key":"e_1_2_8_7_2","first-page":"4245","article-title":"A dual-clustering based collaborative filtering recommendation algorithm with confidence estimation of user","volume":"11","author":"Li M.","year":"2015","journal-title":"Journal of Computational Information Systems"},{"key":"e_1_2_8_8_2","first-page":"283","article-title":"Improving the performance of video collaborative filtering recommender systems using optimization algorithm","volume":"11","author":"Tohidi N.","year":"2020","journal-title":"The International Journal of Nonlinear Analysis and Applications (IJNAA)"},{"key":"e_1_2_8_9_2","first-page":"6845","article-title":"A collaborative filtering recommendation method based on clustering and user trust","volume":"11","author":"Shi J.","year":"2015","journal-title":"Journal of Computational Information Systems"},{"key":"e_1_2_8_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.09.156"},{"key":"e_1_2_8_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.08.005"},{"key":"e_1_2_8_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2011.07.021"},{"key":"e_1_2_8_13_2","doi-asserted-by":"publisher","DOI":"10.5815\/ijitcs.2019.02.06"},{"key":"e_1_2_8_14_2","doi-asserted-by":"publisher","DOI":"10.4018\/ijissc.2017040102"},{"key":"e_1_2_8_15_2","doi-asserted-by":"publisher","DOI":"10.1515\/phys-2019-0102"},{"key":"e_1_2_8_16_2","doi-asserted-by":"publisher","DOI":"10.5120\/ijca2017914490"},{"key":"e_1_2_8_17_2","doi-asserted-by":"publisher","DOI":"10.3156\/jsoft.29.4_628"},{"key":"e_1_2_8_18_2","doi-asserted-by":"publisher","DOI":"10.26438\/ijcse\/v6i4.476481"},{"key":"e_1_2_8_19_2","doi-asserted-by":"publisher","DOI":"10.21107\/rekayasa.v13i3.8545"},{"key":"e_1_2_8_20_2","doi-asserted-by":"publisher","DOI":"10.5815\/ijitcs.2016.07.10"},{"key":"e_1_2_8_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-0807-6"},{"key":"e_1_2_8_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2018.01.042"},{"key":"e_1_2_8_23_2","doi-asserted-by":"publisher","DOI":"10.1002\/stc.1585"},{"key":"e_1_2_8_24_2","first-page":"1","article-title":"Venue topic model\u2013enhanced joint graph modelling for citation recommendation in scholarly big data","volume":"20","author":"Wang W.","year":"2020","journal-title":"ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)"},{"key":"e_1_2_8_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2984370"},{"key":"e_1_2_8_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3064240"},{"key":"e_1_2_8_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3065019"}],"updated-by":[{"DOI":"10.1155\/2024\/9810192","type":"retraction","label":"Retraction","source":"retraction-watch","updated":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T00:00:00Z","timestamp":1706054400000},"record-id":"51752"},{"DOI":"10.1155\/2024\/9810192","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2024,1,24]],"date-time":"2024-01-24T00:00:00Z","timestamp":1706054400000}}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/4476560.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/4476560.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/4476560","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T19:18:34Z","timestamp":1723231114000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/4476560"}},"subtitle":[],"editor":[{"given":"Zhihan","family":"Lv","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":27,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/4476560"],"URL":"https:\/\/doi.org\/10.1155\/2021\/4476560","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-04-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-05-28","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"4476560"}}