[1]LU Jie,WU Dianshuang,MAO Mingsong,et al.Recommender system application developments[J].Decision Support Systems,2015,74(C):12-32.
[2]ADOMAVICIUS G,TUZHILIN A.Toward the next generation of recommender systems:a survey of the state-of-the-art and possible extensions[J].IEEE Transactions on Knowledge and Data Engineering,2005,17(6):734-749.
[3]HERLOCKER J L,KONSTAN J A,BORCHERS A,et al.An algorithmic framework for performing collaborative filtering[C]//Proceedings of the 22nd Annual Inter-national ACM SIGIR Conference on Research and Development in Information Retrieval.New York,USA:ACM Press,1999:230-237.
[4]SCHEIN A I,POPESCUL A,UNGAR L H,et al.Methods and metrics for cold-start recommendations[C]//Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.New York,USA:ACM Press,2002:253-260.
[5]AHN H J.A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem[J].Information Sciences,2008,178(1):37-51.
[6]ZHANG Fuguo,ZENG An.Improving information filtering via network manipulation[EB/OL].[2018-01-08].https://128.84.21.199/pdf/1208.6119.pdf.
[7]LIKA B,KOLOMVATSOS K,HADJIEFTHYMIADES S.Facing the cold start problem in recommender systems[J].Expert Systems with Applications,2014,41(4):2065-2073.
[8]SAFOURY L,SALAH A.Exploiting user demographic attributes for solving cold-start problem in recommender system[J].Lecture Notes on Software Engineering,2013,1(3):303-307.
[9]POIRIER D,FESSANT F,TELLIER I.Reducing the cold-start problem in content recommendation through opinion classification[C]//Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.Washington D.C.,USA:IEEE Press,2010:204-207.
[10]ZHANG Xi,CHENG Jian,QIU Shuang,et al.DualDS:a dual discriminative rating elicitation framework for cold start recommendation[J].Knowledge-Based Systems,2015,73:161-172.
[11]ZHANG Zike,LIU Chuang,ZHANG Yicheng,et al.Solving the cold-start problem in recommender systems with social tags[EB/OL].[2018-01-08].http://image.sciencenet.cn/olddata/kexue.com.cn/upload/blog/file/2010/11/201 0112113532947455.pdf.
[12]JI Ke,SHEN Hong.Addressing cold-start:scalable recommendation with tags and keywords[J].Knowledge-Based Systems,2015,83:42-50.
[13]CHEN C C,WAN Yuhao,CHUNG M C,et al.An effective recommendation method for cold start new users using trust and distrust networks[J].Information Sciences,2013,224:19-36.
[14]GOLBECK J.Combining provenance with trust in social networks for semantic web content filtering[C]//Proceedings of International Provenance and Annotation Workshop.Berlin,Germany:Springer,2006:101-108.
[15]VAIRACHILAI S,KAVITHADEVI M K,RAJA M.Alleviating the cold start problem in recommender systems based on modularity maximization community detection algorithm[J].Circuits and Systems,2016,7(8):1268-1279.
[16]MASSA P,BHATTACHARJEE B.Using trust in recommender systems:an experimental analysis[C]//Proceedings of International Conference on Trust Management.Berlin,Germany:Springer,2004:221-235.
[17]宋波伟,伍伟丽.基于信任社交圈的好友推荐算法[J].计算机工程,2017,43(5):149-155.
[18]SUN Mingxuan,LI Fuxin,LEE J,et al.Learning multiple-question decision trees for cold-start recommendation[C]//Proceedings of the 6th ACM International Conference on Web Search and Data Mining.New York,USA:ACM Press,2013:445-454.
[19]JACOB Y,DENOYER L,GALLINARI P.Classification and annotation in social corpora using multiple relations[C]//Proceedings of the 20th ACM International Conference on Information and Knowledge Management.New York,USA:ACM Press,2011:1215-1220.
[20]GJOKA M,BUTTS C T,KURANT M,et al.Multigraph sampling of online social networks[J].IEEE Journal on Selected Areas in Communications,2011,29(9):1893-1905.
[21]AGARWAL S.Ranking on graph data[C]//Proceedings of the 23rd International Conference on Machine Learning.New York,USA:ACM Press,2006:25-32.
[22]ZHOU Dengyong,SCHLKOPF B.A regularization framework for learning from graph data[EB/OL].[2018-01-08].https://www.microsoft.com/en-us/research/wp-content/uplo ads/2017/01/RFLG.pdf.
[23]MAO Kuang,FAN Ju,SHOU Lidan,et al.Song recommendation for social singing community[C]//Proceedings of the 22nd ACM International Conference on Multimedia.New York,USA:ACM Press,2014:127-136.
[24]SHAMBOUR Q,LU Jie.A trust-semantic fusion-based recommendation approach for E-business applications[J].Decision Support Systems,2012.54(1):768-780.
[25]HERLOCKER J L,KONSTAN J A,TERVEEN L G,et al.Evaluating collaborative filtering recommender systems[J].ACM Transactions on Information Systems,2004,22(1):5-53.
[26]朱郁筱,吕琳媛.推荐系统评价指标综述[J].电子科技大学学报,2012,41(2):163-175.
[27]RESNICK P,IACOVOU N,SUSHAK M,et al.Grouplens:an open architecture for collaborative filtering of netnews[C]//Proceedings of ACM Conference on Computer Supported Cooperative Work.New York,USA:ACM Press,1994:175-186.
[28]MASSA P,AVESANI P.Computing with social trust[M].Berlin,Germany:Springer,2009,259-285.
[29]ZHEN Yi,LI Wujun,YEUNG D Y.TagiCoFi:tag informed collaborative filtering[C]//Proceedings of the 3rd ACM Conference on Recommender Systems.New York,USA:ACM Press,2009:69-76. |