{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T09:22:33Z","timestamp":1758705753685,"version":"3.37.3"},"reference-count":17,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61673085","2016GZ0081"],"award-info":[{"award-number":["61673085","2016GZ0081"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science & Technology Department of Sichuan Province","award":["61673085","2016GZ0081"],"award-info":[{"award-number":["61673085","2016GZ0081"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mobile Information Systems"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>As the rapid development of mobile Internet and smart devices, more and more online content providers begin to collect the preferences of their customers through various apps on mobile devices. These preferences could be largely reflected by the ratings on the online items with explicit scores. Both of positive and negative ratings are helpful for recommender systems to provide relevant items to a target user. Based on the empirical analysis of three real-world movie-rating data sets, we observe that users\u2019 rating criterions change over time, and past positive and negative ratings have different influences on users\u2019 future preferences. Given this, we propose a recommendation model on a session-based temporal graph, considering the difference of long- and short-term preferences, and the different temporal effect of positive and negative ratings. The extensive experiment results validate the significant accuracy improvement of our proposed model compared with the state-of-the-art methods.<\/jats:p>","DOI":"10.1155\/2017\/8940709","type":"journal-article","created":{"date-parts":[[2017,3,12]],"date-time":"2017-03-12T17:01:19Z","timestamp":1489338079000},"page":"1-10","source":"Crossref","is-referenced-by-count":4,"title":["Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation"],"prefix":"10.1155","volume":"2017","author":[{"given":"Wen-Jun","family":"Li","sequence":"first","affiliation":[{"name":"Big Data Research Center & Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China"},{"name":"Suzhou Institute of Industrial Technology, Suzhou 215104, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1986-8961","authenticated-orcid":true,"given":"Qiang","family":"Dong","sequence":"additional","affiliation":[{"name":"Big Data Research Center & Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China"}]},{"given":"Yan","family":"Fu","sequence":"additional","affiliation":[{"name":"Big Data Research Center & Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-011-0215-0"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/mic.2003.1167344"},{"issue":"4","key":"3","first-page":"902","volume":"98","year":"2015","journal-title":"IEICE Transactions on Information and Systems"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2014.11.018"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/tlt.2012.11"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2015.03.008"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.03.025"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.02.117"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1142\/S0129183113500320"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2015.05.066"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2011.07.005"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1038\/srep06560"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/100\/68002"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.76.046115"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1142\/s0129183115501028"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/81\/58004"},{"key":"20","first-page":"450","volume":"1","year":"2009","journal-title":"Web Intelligence and Intelligent Agent Technologies"}],"container-title":["Mobile Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2017\/8940709.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2017\/8940709.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/misy\/2017\/8940709.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,12]],"date-time":"2017-03-12T17:01:21Z","timestamp":1489338081000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/misy\/2017\/8940709\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":17,"alternative-id":["8940709","8940709"],"URL":"https:\/\/doi.org\/10.1155\/2017\/8940709","relation":{},"ISSN":["1574-017X","1875-905X"],"issn-type":[{"type":"print","value":"1574-017X"},{"type":"electronic","value":"1875-905X"}],"subject":[],"published":{"date-parts":[[2017]]}}}