Computer Science ›› 2019, Vol. 46 ›› Issue (2): 202-209.doi: 10.11896/j.issn.1002-137X.2019.02.031
• Artificial Intelligence • Previous Articles Next Articles
MAO Yu-jia, LIU Xue-jun, XU Xin-yan, ZHANG Xin
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| [1]O’CONNOR M,DAN C,KONSTAN J A,et al.PolyLens:A Recommender System for Groups of Users[C]∥ Conference on European Conference on Computer Supported Cooperative Work.Netherlands:Springer,2001:199-218. [2]FENG S,CAO J.Improving group recommendations via detecting comprehensive correlative information[J].Multimedia Tools & Applications,2015,76(1):1-23. [3]SYMEONIDIS P,TIAKAS E,MANOLOPOULOS Y.Product recommendation and rating prediction based on multi-modal social networks[C]∥Proceedings of the fifth ACM Conference on Recommender Systems.New York:ACM,2011:61-68. [4]BAGCI H,KARAGOZ P.Context-Aware Friend Recommendation for Location Based Social Networks using Random Walk[C]∥ Proceedings of the 25th International Conference Companion on World Wide Web.Canada,2016:531-536. [5]REN Z,LIANG S,LI P,et al.Social Collaborative Viewpoint Regression with Explainable Recommendations[C]∥ Procee-dings of the Tenth ACM International Conference on Web Search and Data Mining.New York:ACM,2017:485-494. [6]HONG M,JUNG J J,CAMACHO D.GRSAT:A Novel Method on Group Recommendation by Social Affinity and Trustworthiness[J].Cybernetics & Systems,2017,48(3):140-161. [7]YUAN Z,CHEN C.Research on group POIs recommendation fusion of users’ gregariousness and activity in LBSN[C]∥ IEEE International Conference on Cloud Computing and Big Data Analysis.China:IEEE,2017:305-310. [8]LIN X,ZHANG M,ZHANG Y F,et al.Fairness-Aware Group Recommendation with Pareto-Efficiency[C]∥The Eleventh ACM Conference.New York:ACM,2017:107-115. [9]WANG S,WANG Y,TANG J,et al.What Your Images Reveal:Exploiting Visual Contents for Point-of-Interest Recommendation[C]∥ Proceedings of the 26th International Con-ference on World Wide Web.Canada,2017:391-400. [10]HE R,MCAULEY J.Ups and Downs:Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering[C]∥ Proceedings of the 25th International Conference on World Wide Web.Canada,2016:507-517. [11]LAI C H,HONG P R.Group Recommendation Based on the Analysis of Group Influence and Review Content[C]∥Asian Conference on Intelligent Information and Database Systems.Japan:Springer,Cham,2017:100-109. [12]NAAMANI-DERY L,KALECH M,ROKACH L,et al.Pre- ference elicitation for narrowing the recommended list for groups[C]∥ Proceedings of the 8th ACM Conference onRe-commender systems.New York:ACM,2014:333-336. [13]HUANG C H,YIN J,HOU F.A text similarity measurement combining word semantic information with TF-IDF method[J].Chinese Journal of Computers,2011,34(5):856-864.(in Chinese) 黄承慧,印鉴,侯昉.一种结合词项语义信息和TF-IDF方法的文本相似度量方法[J].计算机学报,2011,34(5):856-864. [14]ZHANG Y J,DU Y L,MENG X W.Research on group recommendation systems and their application[J].Chinese Journal of Computers,2016,39(4):745-764.(in Chinese) 张玉洁,杜雨露,孟祥武.组推荐系统及其应用研究[J].计算机学报,2016,39(4):745-764. [15]PESSEMIER T,DOOMS S,MARTENS L.Comparison of group recommendation algorithms[M].Dordrecht:Kluwer Academic Publishers,2014:2497-2541. [16]KAGITA V R,PUJARI A K,PADMANABHAN V.Virtual user approach for group recommender systems using precedence relations[M].Tanytown:Elsevier Science Inc,2015:15-30. |
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