| ［1］ |
Borchers A， Herlocker J， Konstan J， et al.Ganging up on information overload［J］.Computer， 1998， 31（4）:106108.
|
| ［2］ |
Adomavicius G， Tuzhilin A.Toward the next generation of recommender systems:A survey of the stateoftheart and possible extensions ［J］.
|
|
IEEE Transactions on Knowledge and Data Engineering， 2005， 17（6）:734749.
|
| ［3］ |
Bobadilla J， Ortega F， Hernando A， et al. Recommender systems survey［J］.KnowledgeBased Systems， 2013， 46(1):109132.
|
| ［4］ |
Wang Guoxia， Liu Heping.Survey of personalized recommendation system ［J］.Computer Engineering and Applications，2012， 48（47）:6676.（in Chinese）
|
| ［5］ |
Koren Y， Bell R， Volinsky C.Matrix factorization techniques for recommender systems［J］.Computer， 2009,42 （8）:3037.
|
| ［6］ |
Koren Y.Factorization meets the neighborhood:A multifaceted collaborative filtering model［C］∥Proc of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining， 2008:426434.
|
| ［7］ |
Ma H， Yang H， Lyu M R， et al.Sorec:Social recommendation using probabilistic matrix factorization［C］∥Proc of the 17th ACM International Conference on Information and Knowledge Management， 2008:931940.
|
| ［8］ |
Ma H， Zhou D， Liu C， et al.Recommender systems with social regularization［C］∥Proc of the 4th ACM International Conference on Web Search and Data Mining， 2011:287296.
|
| ［9］ |
Jamali M， Ester M.A matrix factorization technique with trust propagation for recommendation in social networks［C］∥Proc of the 4th ACM International Conference on Recommender Systems， 2010:135142.
|
| ［10］ |
Yang B， Lei Y， Liu D， et al.Social collaborative filtering by trust［C］∥Proc of the 23rd International Joint Conference on Artificial Intelligence， 2013:27472753.
|
| ［11］ |
Bao H F Y， Zhang J.Leveraging decomposed trust in probabilistic matrix factorization for effective recommendation［C］∥Proc of the 28th AAAI Conference on Artificial Intelligence(AAAI), 2014:3036.
|
| ［12］ |
Guo G， Zhang J， YorkeSmith N.Trustsvd:Collaborative filtering with both the explicit and implicit influence of user trust and of item ratings［C］∥Proc of the 29th AAAI Conference on Artificial Intelligence （AAAI）,2015:1.
|
| ［13］ |
Tu Dandan， Shu Chengchun， Yu Haiyan.Using unified probabilistic matrix factorization for contextual advertisement recommendation［J］.Journal of Software， 2013，24（3）:454464. （in Chinese）
|
| ［14］ |
Li Hui， Ma Xiaoping， Hu Yun，et al.Research on recommendation algorithm by fusing social network and trust ［J］.Application Research of Computers， 2014， 31（3）:808810.（in Chinese）
|
| ［15］ |
Massa P，Avesani P.Trustaware recommender systems［C］∥Proc of the 2007 ACM International Conference on Recommender Systems， 2007:1724.
|
| ［16］ |
Zhou Y， Wilkinson D， Schreiber R， et al.Largescale parallel collaborative filtering for the netflix prize［M］∥Algorithmic Aspects in Information and Management.Berlin:Springer Berlin Heidelberg， 2008:337348.
|
| ［17］ |
Massa P， Avesani P.Trustaware bootstrapping of recommender systems［C］∥Proc of ECAI 2006 Workshop on Recommender Systems, 2006:29.
|
| ［18］ |
Guo G， Zhang J， Thalmann D， et al.ETAF:An extended trust antecedents framework for trust prediction［C］∥Proc of 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining （ASONAM）， 2014:540547.
|
| ［19］ |
Herlocker J L， Konstan J A， Terveen L G， et al.Evaluating collaborative filtering recommender systems［J］.ACM Transactions on Information Systems （TOIS）， 2004， 22（1）:553.
|
| ［20］ |
Deng W， Patil R， Najjar L， et al.Incorporating community detection and clustering techniques into collaborative filtering model［J］.Procedia Computer Science， 2014， 31(31):6674.
|
| ［21］ |
Koren Y.Factor in the neighbors:Scalable and accurate collaborative filtering［J］.ACM Transactions on Knowledge Discovery from Data （TKDD）， 2010， 4（1）:1.
|
|
附中文参考文献：
|
| ［4］ |
王国霞，刘贺平.个性化推荐系统综述［J］.计算机工程与应用，2012， 48（7）:6676.
|
| ［13］ |
涂丹丹，舒承椿，余海燕.基于联合概率矩阵分解的上下文广告推荐算法［J］.软件学报，2013，24（3）:454464.
|
| ［14］ |
李慧，马小平，胡云，等.融合社会网络与信任度的个性化推荐方法研究［J］.计算机应用研究， 2014， 31（3）:808810.
|
