{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T07:51:41Z","timestamp":1764402701751,"version":"3.37.3"},"reference-count":17,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2016,3,1]],"date-time":"2016-03-01T00:00:00Z","timestamp":1456790400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61371177","61170262"],"award-info":[{"award-number":["61371177","61170262"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61371177","61170262"],"award-info":[{"award-number":["61371177","61170262"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2016,3,1]]},"abstract":"<jats:p> The sparsity problem of user-item matrix is a major obstacle to improve the accuracy of the traditional collaborative filtering systems, and, meanwhile, it is also responsible for cold-start problem in the collaborative filtering approaches. In this paper, a three-tier network Architecture, which includes user relationship network, item similarity network, and user-item relationship network, is constructed using comprehensive data among the user-item matrix and the social networks. Based on this framework, a Regression Model Recommendation Approach (RMRA) is established to calculate the correlation score between the test user and test item. The correlation score is used to predict the test user preference for the test item. The RMRA mines the potential information among both social networks and user-item matrix to improve the recommendation accuracy and ease the cold-start problem. We conduct experiment based on KDD 2012 real data set. The result indicates that our algorithm performs superiorly compared to traditional collaborative filtering algorithm. <\/jats:p>","DOI":"10.1155\/2016\/9564293","type":"journal-article","created":{"date-parts":[[2016,3,24]],"date-time":"2016-03-24T21:03:07Z","timestamp":1458853387000},"page":"9564293","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["A Recommendation System Based on Regression Model of Three-Tier Network Architecture"],"prefix":"10.1177","volume":"12","author":[{"given":"Wang","family":"Bailing","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huang","family":"Junheng","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhu","family":"Dongjie","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hou","family":"Xilu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,3,24]]},"reference":[{"doi-asserted-by":"publisher","key":"B1-2016-9564293","DOI":"10.1145\/963770.963772"},{"volume-title":"Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Wang J.","first-page":"501","key":"B2-2016-9564293"},{"doi-asserted-by":"publisher","key":"B3-2016-9564293","DOI":"10.1016\/j.eswa.2009.12.061"},{"doi-asserted-by":"publisher","key":"B4-2016-9564293","DOI":"10.1145\/1935826.1935877"},{"doi-asserted-by":"publisher","key":"B5-2016-9564293","DOI":"10.1145\/1458082.1458205"},{"doi-asserted-by":"publisher","key":"B6-2016-9564293","DOI":"10.1145\/1571941.1571978"},{"doi-asserted-by":"publisher","key":"B7-2016-9564293","DOI":"10.1109\/mic.2003.1167344"},{"volume-title":"Proceedings of the ACM Conference on Computer Supported Cooperative Work","author":"Resnick P.","first-page":"175","key":"B8-2016-9564293"},{"volume-title":"Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Jin R.","first-page":"337","key":"B9-2016-9564293"},{"doi-asserted-by":"publisher","key":"B10-2016-9564293","DOI":"10.1145\/963770.963776"},{"doi-asserted-by":"publisher","key":"B11-2016-9564293","DOI":"10.1145\/371920.372071"},{"doi-asserted-by":"publisher","key":"B12-2016-9564293","DOI":"10.1145\/2484028.2484059"},{"volume-title":"Proceedings of the 21st ACM International Conference on Information and Knowledge Management","author":"Wu L.","first-page":"1854","key":"B13-2016-9564293"},{"doi-asserted-by":"publisher","key":"B14-2016-9564293","DOI":"10.1145\/223904.223931"},{"doi-asserted-by":"publisher","key":"B15-2016-9564293","DOI":"10.1145\/1089107.1089109"},{"doi-asserted-by":"publisher","key":"B16-2016-9564293","DOI":"10.1145\/963770.963774"},{"volume-title":"Proceedings of the (HIM '95)","author":"Kuhlen R.","key":"B17-2016-9564293"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2016\/9564293","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1155\/2016\/9564293","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1155\/2016\/9564293","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T22:16:05Z","timestamp":1620252965000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1155\/2016\/9564293"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,1]]},"references-count":17,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2016,3,1]]}},"alternative-id":["10.1155\/2016\/9564293"],"URL":"https:\/\/doi.org\/10.1155\/2016\/9564293","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"type":"print","value":"1550-1477"},{"type":"electronic","value":"1550-1477"}],"subject":[],"published":{"date-parts":[[2016,3,1]]}}}