[1] Adomavicius G, Tuzhilin A. Towards 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] Chang Y, Shen J, Chen T. A Data Mining-based Method for the Incremental Update of Supporting Personalized Information Filtering [J]. Journal of Information Science and Engineering, 2008, 24(1): 129-142.
[3] 刘建国, 周涛, 汪秉宏. 个性化推荐系统的研究进展[J]. 自然科学进展, 2009, 19(1): 1-15. (Liu Jianguo, Zhou Tao, Wang Binghong. Review on Research of Personalized Recommendation Systems [J]. Progress in Natural Science, 2009, 19(1): 1-15.)
[4] 刘平峰, 聂规划, 陈冬林. 基于知识的电子商务智能推荐系统平台设计[J]. 计算机工程与应用, 2007, 43(19): 199-201. (Liu Pingfeng, Nie Guihua, Chen Donglin. Design of Platform for Knowledge Based Intelligent Electronic Commerce Recommender Systems [J]. Computer Engineering and Applications, 2007, 43(19): 199-201.)
[5] Middleton S E, Shadbolt N, Roure D D. Ontological User Profiling in Recommender Systems[J]. ACM Transactions on Information Systems, 2004, 22(1): 54-88.
[6] 刘鲁, 任晓丽. 推荐系统研究进展及展望 [J]. 信息系统学报, 2008, 2(1): 82-90. (Liu Lu, Ren Xiaoli. Review and Perspective of the Recommender Systems [J]. China Journal of Information Systems, 2009, 2(1): 82-90.)
[7] Swearingen K, Sinha R. Beyond Algorithms: An HCI Perspective on Recommender Systems [C]. In: Proceedings of the ACM SIGIR Workshop on Recommender Systems. 2001.
[8] 吴丽花, 刘鲁. 个性化推荐系统用户建模技术综述[J]. 情报学报, 2006, 25(1): 55-62. (Wu Lihua, Liu Lu. User Profiling for Personalized Recommending Systems-A Review [J]. Journal of the China Society for Scientific and Technical Information, 2006, 25(1): 55-62.)
[9] Honda K, Sugiura N, Ichihashi H, et al. Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering [C]. In: Proceedings of the 1st Asia-Pacific Conference on Web Intelligence: Research and Development. 2001: 394-402.
[10] 李珊, 何建敏, 厉浩. 基于知识的协同过滤推荐系统研究[J]. 情报学报, 2008, 27(3): 357-362. (Li Shan, He Jianmin, Li Hao. Research of Knowledge Based Collaborative Filtering Recommendation Systems [J]. Journal of the China Society for Scientific and Technical Information, 2008, 27(3): 357-362.)
[11] Felfernig A, Teppan E, Gula B. Knowledge-based Recommender Technologies for Marketing and Sales [J]. International Journal of Pattern Recognition and Artificial Intelligence, 2007, 21(2): 333-354.
[12] Kobsa A. Privacy-enhanced Personalization [J]. Communications of the ACM, 2007, 50(8): 24-33.
[13] Sutanto J, Palme E, Tan C, et al. Addressing the Personalization-Privacy Paradox: An Empirical Assessment from a Field Experiment on Smartphone Users [J]. MIS Quarterly, 2013, 37(4): 1141-1164.
[14] Xu Y, Zhang B, Chen Z, et al. Privacy-enhancing Personalized Web Search [C]. In: Proceedings of the 16th Conference on World Wide Web. 2007: 591-600.
[15] Zhou L, Dai L, Zhang D. Online Shopping Acceptance Model-A Critical Survey of Consumer Factors in Online Shopping [J]. Journal of Electronic Commerce Research, 2007, 8(1): 41-62.
[16] 胡洁, 张进辅. 基于消费者价值观的手段目标链模型[J]. 心理科学进展, 2008, 16(3): 504-512. (Hu Jie, Zhang Jinfu. The Means-End Chain Model Focused on Consumer Values [J]. Advances in Psychological Science, 2008, 16(3): 504-512.)
[17] 颜端武, 刘明岩, 许应楠. 基于领域本体的细粒度用户兴趣建模研究[J]. 情报学报, 2010, 29(3): 433-442. (Yan Duanwu, Liu Mingyan, Xu Yingnan. Toward Fine-grained User Preference Modeling Based on Domain Ontology [J]. Journal of the China Society for Scientific and Technical Information, 2010, 29(3): 433-442.)
[18] 孙东川, 杨立洪, 钟拥军. 管理的数量方法[M]. 北京: 清华大学出版社, 2005: 234-254. (Sun Dongchuan, Yang Lihong, Zhong Yongjun. Quantitative Methods of Management [M]. Beijing: Tsinghua University Press, 2005: 234-254.)
[19] Celik H E, Yilmaz V. Extending the Technology Acceptance Model for Adoption of E-Shopping by Consumers in Turkey [J]. Journal of Electronic Commerce Research, 2011, 12(2): 152-164. |