参考文献
[1]Zhang L J,Zhang J,Cai H.Services Computing[M].Beijing,China:Tsinghua University Press,2007.
[2]Zheng Z,Ma H,Lyu M R,et al.Wsrec:A Collaborative Filtering Based Web Service Recommender System[C]//Proceedings of IEEE International Conference on Web Services.Washington D.C.,USA:IEEE Press,2009:437-444.
[3]宗方.综合功能属性和非功能属性的 Web 服务组合研究[D].重庆:西南大学,2014.
[4]Liu R R,Jia C X,Zhou T,et al.Personal Recommendation via Modified Collaborative Filtering[J].Physica A:Statistical Mechanics and Its Applications,2009,388(4):462-468.
[5]Liang H,Xu Y,Li Y,et al.Collaborative Filtering Recommender Systems Using Tag Information[C]//Proceedings of IEEE/WIC/ACM International Con-ference on Web Intelligence and Intelligent Agent Tech-nology.Washington D.C.,USA:IEEE Press,2008:59-62.
[6]Huang Y,Gao X,Gu S.Collaborative Filtering Recommendation Algorithm Based on User Acceptable Rating Radius[M].Berlin,Germany:Springer,2015:141-146.
[7]Ji K,Shen H.Making Recommendations from Top-N User-item Subgroups[J].Neurocomputing,2015,165(1):228-237.
[8]Liu H,Hu Z,Mian A,et al.A New User Similarity Model to Improve the Accuracy of Collaborative Filtering[J].Knowledge-based Systems,2014,56(1):156-166.
[9]刘裕章.基于信任的协同过滤推荐算法研究与应用[D].广州:中山大学,2012.
[10]王兴茂,张兴明,邬江兴.基于一跳信任模型的协同过滤推荐算法[J].通信学报,2015,36(6).
[11]王海艳,杨文彬,王随昌,等.基于可信联盟的服务推荐方法[J].计算机学报,2014,37(2):301-311.
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[12]Wang M,Ma J.A Novel Recommendation Approach Based on Users' Weighted Trust Relations and the Rating Similarities[J].Soft Computing,2015,20(1):1-10.
[13]单明辉,贡佳炜,牛尔力,等.RulerRep:一种基于偏离度的过滤不实评价新方法[J].计算机学报,2010,33(7):1226-1235.
[14]宋海霞,严馨,余正涛,等.基于自适应聚类的虚假评论检测[J].南京大学学报(自然科学版),2013,49(4):433-438.
[15]卢竹兵,詹雁.一种基于信任网络的协同过滤推荐策略[J].西南师范大学学报(自然科学版),2008,33(2):123-126.
[16]Zhang J,Peng Q,Sun S,et al.Collaborative Filtering Recommendation Algorithm Based on User Preference Derived From Item Domain Features[J].Physica A:Statistical Mechanics and Its Applications,2014,396(1):66-76.
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