[1] Wu Y, Wang X. A Managerial Object-Oriented Solution of Knowledge Management Systems: Based on the Research and Practice of Enterprises of China [J]. Advances in Information Sciences and Service Sciences, 2012, 4(15): 280-288.
[2] 胡吉明. 社会化网络服务的开放运行架构及服务拓展研究[J]. 情报科学, 2012, 30(9): 1396-1400. (Hu Jiming. Study on Open Operation Architecture and Service Expansion of Social Network Service [J]. Information Science in China, 2012, 30(9): 1396-1400.)
[3] Ortega F, Sánchez J L, Bobadilla J, et al. Improving Collaborative Filtering-Based Recommender Systems Results Using PARETO Dominance [J]. Information Sciences, 2012, 239: 50-61.
[4] 冷亚军, 陆青, 梁昌勇. 协同过滤推荐技术综述[J]. 模式识别与人工智能, 2014, 27(8): 720-734. (Leng Yajun, Lu Qing, Liang Changyong. Survey of Recommendation Based on Collaborative Filtering [J]. Pattern Recognition and Artificial Intelligence, 2014, 27(8): 720-734.)
[5] 林聚任. 社会网络分析: 理论、方法与应用[M]. 北京: 北京师范大学出版社, 2009: 80-85. (Lin Juren. Social Network Analysis: Theory, Method and Application [M]. Beijing: Beijing Normal University Press, 2009: 80-85.)
[6] Morales A J, Losada J C, Benito R M. Users Structure and Behavior on an Online Social Network During a Political Protest [J]. Physica A: Statistical Mechanics and Its Applications, 2012, 391(21): 5244-5253.
[7] 张莉, 滕丕强, 秦桃. 利用社会网络关键用户改进协同过滤算法性能[J]. 情报杂志, 2014, 33(4): 196-200. (Zhang Li, Teng Piqiang, Qin Tao. Using Key Users of Social Network to Enhance Collaborative Filtering Performance [J]. Journal of Intelligence, 2014, 33(4): 196-200.)
[8] 俞琰, 邱广华. 基于局部随机游走的在线社交网络朋友推荐算法[J]. 系统工程, 2013, 31(2): 47-54. (Yu Yan, Qiu Guanghua. Algorithm of Friend Recommendation in Online Social Networks Based on Local Random Walk [J]. System Engineering, 2013, 31(2): 47-54.)
[9] 金亚亚, 牟援朝. 基于改进信任度的协同过滤推荐算法[J]. 现代图书情报技术, 2010(10): 49-53. (Jin Yaya, Mou Yuanchao. Collaborative Filtering Recommendation Algorithm Based on Improved Trustworthiness [J]. New Technology of Library and Information Service, 2010(10): 49-53.)
[10] 刘军. 整体网分析讲义UCINET软件实用指南[M]. 上海: 格致出版社, 2009: 117-120. (Liu Jun. Lectures on Whole Network Approach -A Practice Guide to UCINET [M]. Shanghai: Truth & Wisdom Press, 2009: 117-120.)
[11] Zhou T, Ren J, Medo M, et al. Bipartite Network Projection and Personal Recommendation [J]. Physical Review E, 2007, 76(4): 46-115.
[12] Pham M C, Cao Y, Klamma R, et al. A Clustering Approach for Collaborative Filtering Recommendation Using Social Network Analysis [J]. Journal of Universal Computer Science, 2011, 17 (4): 583-604.
[13] Mao L Y, Guan Y, Shang M, et al. Effect of User's Judging Power on the Recommendation Performance [J]. TELKOMNIKA Indonesian Joumal of Electrical Engineering, 2013, 11 (7): 3534-3540.
[14] 董晓华, 周彦晖. 基于相似度的信任推荐模型[J]. 计算机科学, 2013, 40(10): 132-134. (Dong Xiaohua, Zhou Yanhui. Similarity-based Trust Recommended Model [J]. Computer Science, 2013, 40(10): 132-134.)
[15] 甘早斌, 曾灿, 李开, 等. 电子商务下的信任网络构造与优化[J]. 计算机学报, 2012, 35(1): 27-37. (Gan Zaobin, Zeng Can, Li Kai, et al. Construction and Optimization of Trust Network in E-Commerce Environment [J]. Chinese Journal of Computers, 2012, 35(1): 27-37.)
[16] 黄武汉, 孟祥武, 王立才. 移动通信网中基于用户社会化关系挖掘的协同过滤算法[J]. 电子与信息学报, 2011, 33(12): 3002-3007. (Huang Wuhan, Meng Xiangwu, Wang Licai. A Collaborative Filtering Algorithm Based on Users' Social Relationship Mining in Mobile Communication Network [J]. Journal of Electronics & Information Technology, 2011, 33(12): 3002-3007.)
[17] 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.)
[18] Spertus E, Sahami M, Buyukkokten O. Evaluating Similarity Measures: A Large-scale Study in the Orkut Social Network [C]. In: Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery in Data Mining. ACM, 2005: 678-684.
[19] Geyer W, Dugan C, Millen D R, et al. Recommending Topics for Self-descriptions in Online User Profiles [C]. In: Proceedings of the 2008 ACM Conference on Recommender Systems. ACM, 2008: 257-271.
[20] Groh G, Ehmig C. Recommendations in Taste Related Domains: Collaborative Filtering VS. Social Filtering [C]. In: Proceedings of the 2007 International ACM Conference on Supporting Group Work. ACM, 2007: 127-136. |