[1] 于洪, 李转运. 基于遗忘曲线的协同过滤推荐算法[J]. 南京大学学报: 自然科学版, 2010, 46(5): 520-527. (Yu Hong, Li Zhuanyun. A Collaborative Filtering Recommendation Algorithm Based on Forgetting Curve [J]. Journal of Nanjing University: Natural Sciences, 2010, 46(5): 520-527.)
[2] 冯勇, 李军平, 徐红艳, 等. 基于社会网络分析的协同推荐方法改进[J]. 计算机应用, 2013, 33(3): 841-844. (Feng Yong, Li Junping, Xu Hongyan, et al. Collaborative Recommendation Method Improvement Based on Social Network Analysis [J]. Journal of Computer Applications, 2013, 33(3): 841-844.)
[3] 叶红云, 倪志伟, 倪丽萍. 一种检测兴趣漂移的图结构推荐系统[J]. 小型微型计算机系统, 2012, 33(4): 700-706. (Ye Hongyun, Ni Zhiwei, Ni Liping. Novel Graph-based Recommender System with Interest Drift Detection [J]. Journal of Chinese Computer Systems, 2012, 33(4): 700-706.)
[4] 王超, 吕俊生. 国内外学术信息推荐方法研究进展[J]. 情报杂志, 2013, 32(9): 142-147. (Wang Chao, Lv Junsheng. Progress in the Research on Academic Information Recommendation Mothods [J]. Journal of Information, 2013, 32(9): 142-147.)
[5] 王大玲, 冯时, 张一飞, 等. 社会媒体多模态、多层次资源推荐技术研究[J]. 智能系统学报, 2014, 9(3): 265-275. (Wang Daling, Feng Shi, Zhang Yifei, et al. Study on the Recommendations of Multi-modal and Multi-level Resources in Social Media [J]. CAAI Transactions on Intelligent Systems, 2014, 9(3): 265-275.)
[6] 郭新明, 弋改珍. 混合模型的用户兴趣漂移算法[J]. 智能系统学报, 2010, 5(2): 181-184. (Guo Xinming, Yi Gaizhen. A Hybrid Algorithm to Track Drift of User's Interests [J]. CAAI Transactions on Intelligent Systems, 2010, 5(2): 181-184. )
[7] 俞琰, 邱广华. 用户兴趣变化感知的重启动随机游走推荐算法研究[J]. 现代图书情报技术, 2012(4): 48-53. (Yu Yan, Qiu Guanghua. Research on User Interest Shift Aware Random Walk with Restart Recommendation Algorithm [J]. New Technology of Library and Information Service, 2012(4): 48-53.)
[8] Min S, Han I. Detection of the Customer Time-Variant Pattern for Improving Recommender Systems [J]. Expert System with Application, 2005, 28(2): 189-199.
[9] Cao H, Chen E H, Yang J, et al. Enhancing Recommender Systems Under Volatile User Interest Drifts [C]. In: Proceedings of the 18th ACM Conference on Information and Knowledge Mangement. ACM, 2009: 1257-1266.
[10] Wu P, Yeung C H, Liu W, et al. Time-aware Collaborative Filtering with the Piecewise Decay Function [OL]. [2014-11-13]. http://arxiv.org/pdf/1010.3988v1.pdf.
[11] Cheng Y, Qiu G, Bu J, et al. Model Bloggers' Interests Based on Forgetting Mechanism [C]. In: Proceedings of the 17th International Conference on World Wide Web, Beijing, China. ACM, 2008:1129-1130.
[12] Klinkenberg R. Learning Drifting Concepts: Example Selection vs. Example Weighting [J]. Intelligent Data Analysis, 2004, 8(3): 281-300.
[13] McNally K, O'Mahony M P, Smyth B. A Comparative Study of Collaboration-based Reputation Models for Social Recommender Systems [J]. User Modeling and User-Adapted Interaction, 2014, 24(3): 219-260.
[14] Symeonidis P, Tiakas E, Manolopoulos Y. Product Recommendation and Rating Prediction Based on Multi-modal Social Networks [C]. In: Poceedings of the 5th ACM Conference on Recommender Systems. ACM Press, 2011: 61-68.
[15] 贾大文, 曾承, 彭智勇, 等. 一种基于用户偏好自动分类的社会媒体共享和推荐方法[J]. 计算机学报, 2012, 35(11): 2381-2391. (Jia Dawen, Zeng Cheng, Peng Zhiyong, et al. A User Preference Based Automatic Potential Group Generation Method for Social Media Sharing and Recommendation [J]. Chinese Journal of Computers, 2012, 35(11): 2381-2391.)
[16] 曾子明, 张振. 社会化标注系统中基于社区标签云的个性化推荐研究[J]. 情报杂志, 2011, 30 (10): 128-133. (Zeng Ziming, Zhang Zhen. A Personalized Recommendation Approach Based on Community Tag Cloud in Social Tagging System [J]. Journal of Intelligence, 2011, 30(10): 128-133.)
[17] 何继媛, 窦永香, 刘东苏. 大众标注系统中基于本体的语义检索研究综述[J]. 现代图书情报技术, 2011(3): 51-56. (He Jiyuan, Dou Yongxiang, Liu Dongsu. Survey of Ontology- based Semantic Retrieval in Folksonomy [J]. New Technology of Library and Information Service, 2011(3): 51-56.)
[18] 易明, 曹高辉, 毛进, 等. 基于Tag的知识主题网络构建与Web知识推送研究[J]. 中国图书馆学报, 2011, 37(4): 4-12. (Yi Ming, Cao Gaohui, Mao Jin, et al. Knowledge Topic Network Construction and Web Knowledge Push Based on Tag [J]. Journal of Library Science in China, 2011, 37(4): 4-12.)
[19] 周朴雄, 陈涛. 虚拟社区中基于相似标签聚类的语义信息推荐[J]. 情报理论与实践, 2013, 36(10): 100-104. (Zhou Puxiong, Chen Tao. Semantic Information Recommendation Based on Similar Tags Clustering in Virtual Community [J]. Information Studies: Theory & Application, 2013, 36(10): 100-104.)
[20] 韩敏, 唐常杰, 段磊, 等. 基于TF-IDF相似度的标签聚类方法[J]. 计算机科学与探索, 2010, 4(3): 240-246. (Han Min, Tang Changjie, Duan Lei, et al. TF-IDF Similarity Based Method for Tag Clustering [J]. Journal of Frontiers of Computer Science and Technology, 2010, 4(3): 240-246.)