An Improved Collaborative Filtering Recommendation Algorithm Based on Vague Sets Theory
Zhang Huiying1, Xue Fuliang1,2
1. College of Management & Economics, Tianjin University, Tianjin 300072, China;
2. Business School, Tianjin University of Finance & Economics, Tianjin 300222, China
Abstract：Aiming at the difficulty of project features expression,this paper brings forward to extract and represent it with vague sets theory.Then similar item is clustered to predict missing evaluation values of item, thus eliminating the sparsity problem of collaborative filtering recommendation. Based on the predicted rating matrix,similar users are clustered,and collaborative filtering recommendation is implemented in the space of item cluster to give more targeted recommendation. Evaluation results show that the proposed method is more effective both in the accuracy and in relevance of recommendations.
张慧颖, 薛福亮. 一种利用Vague集理论改进的协同过滤推荐算法[J]. 现代图书情报技术, 2012, 28(3): 35-39.
Zhang Huiying, Xue Fuliang. An Improved Collaborative Filtering Recommendation Algorithm Based on Vague Sets Theory. New Technology of Library and Information Service, 2012, 28(3): 35-39.
[1] 许海玲,吴潇,李晓东,等.互联网推荐系统比较研究[J]. 软件学报,2009,20(2):350-362.(Xu Hailing, Wu Xiao, Li Xiaodong, et al. Comparison Study of Internet Recommendation System[J].Journal of Software, 2009,20(2):350-362.)[2] Pazzani M J.A Framework for Collaborative, Content-based and Demographic Filtering[J]. Artificial Intelligence Review, 1999,13(5):393-408.[3] Sarwar B M, Karypis G,Konstan J A,et al.Application of Dimensionality Reduction in Recommender Systems——A Case Study[C]. In:Proceedings of ACM WebKDD Workshop, New York. 2000.[4] Cheung K W, Kwok J T, Law M H,et al. Mining Customer Product Ratings for Personalized Marketing[J].Decision Support Systems,2003, 35 (2):231-243.[5] Devi M K, Venkatesh P.Kernel Based Collaborative Recommender System for E-purchasing[J]. Academy of Sciences,2010,35(5):513-524.[6] Zenebe A,Norcio A F.Representation,Similarity Measures and Aggregation Methods Using Fuzzy Sets for Content-based Recommender Systems[J].Fuzzy Sets and Systems,2009,160(1):76-94.[7] 崔春生,李光, 吴祈宗. 基于Vague 集的电子商务推荐系统研究[J]. 计算机工程与应用,2011,47(10):237-239.(Cui Chunsheng,Li Guang, Wu Qizong. Research on Recommender Systems of Electric Commerce Based on Vague Sets[J]. Computer Engineering and Applications,2011,47(10):237-239.)[8] 邓爱林.电子商务推荐系统关键技术研究[D]. 上海:复旦大学,2003.(Deng Ailin.The Research on Key Technologies of Recommendation System in E-Commerce[D].Shanghai: Fudan University,2003.)[9] Kim K J, Ahn H. A Recommender System Using GA K-means Clustering in an Online Shopping Market[J]. Expert Systems with Applications, 2008,34(2):1200-1209.[10] 牟向伟,陈燕.基于模糊描述逻辑的个性化推荐系统建模[J]. 计算机应用研究,2011,28(4):1430-1433.(Mu Xiangwei,Chen Yan. Fuzzy Semantic Personalized Recommendation System Modeling[J]. Application Research of Computers,2011,28(4):1430-1433.)
