[1] GEDIMINAS A, ALEXANDER T. 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.
[2] 邓爱林,朱扬勇,施伯乐,基于项目评分预测的协同过滤推荐算法[J].软件学报,2003,14(9): 1621-1628.
DENG Ai-lin, ZHU Yang-yong, SHI Bo-le. Collaborative filtering algorithm based on item [J]. Journal of Software, 2003, 14(9): 1621-1628.
[3] 王茜,杨莉云.面向用户偏好的属性值评分分布协同过滤推荐算法[J].系统工程学报,2010, 25(4): 561-568.
WANG qian, YANG Li-yun. Collaborative filtering algorithm based on rating distribution of attributes faced user preference [J]. Journal of Systems Engineering, 2010, 25(4): 561-568.
[4] ISAAC S, SHILAD S. Rating: how difficult is it? [C] ∥Proceedings of the 5th ACM Conference on Recommender Systems. Washington: ACM, 2011: 149-156.
[5] HARPER F M, LI X, CHEN Y, et al. An economic model of user rating in an online recommender system [M]∥User Modeling. Berlin Heidelberg: Springer, 2005: 307-316.
[6] BENNETT J, LANNING S. The netflix prize [C]∥ Proceedings of KDD Cup and Workshop. California:[s. n.], 2007, 9(2): 51-52.
[7] BURTON R E, KEBLER R W. The “half-life” of some scientific and technical literatures [J]. American Document, 1960, 11(1): 18-22. |