[1] 韩定一. 对等网络的社区模型及其在搜索中的应用[D].上海: 上海交通大学, 2007. (Han Dingyi. Community Models in Peer-to-Peer Networks and Their Applications in Search [D]. Shanghai: Shanghai Jiaotong University, 2007.)
[2] 魏建良, 朱庆华. 社会化标注理论研究综述[J]. 中国图书馆学报, 2009, 35(6): 88-96. (Wei Jianliang, Zhu Qinghua. A Review of the Study of Social Tagging Theory [J]. Journal of Library Science in China, 2009, 35(6): 88-96.)
[3] 陈洁, 司莉. 社会分类法(Folksonomy)特点及其应用研究[J]. 图书与情报, 2008(3): 27-30. (Chen Jie, Si Li. Research on Characteristics and Applications of Folksonomy[J]. Library&Information, 2008(3): 27-30.)
[4] 徐志玮, 郑建瑜. 社会化标签特性及研究进展综述[J]. 图书馆建设, 2013(5): 88-91. (Xu Zhiwei, Zheng Jianyu. Review on the Characteristic of Social Tags and Its Research Progress [J]. Library Development, 2013(5): 88-91.)
[5] Görlitz O, Sizov S, Staab S.PINTS: Peer-to-peer Infras-tructure for Tagging System[C]. In: Proceedings of the 7th International Conference on Peer-to-Peer Systems (IPTPS). Berkeley, CA, USA: USENIX Association, 2008.
[6] Fokker J, Pouwelse J, Buntine W. Tag-Based Navigation for Peer-to-Peer Wikipedia[OL].[2013-10-20].http://bioinfor-matics. tudelft.nl/sites/default/files/final_p2pwikipedia.pdf.
[7] Dattolo A, Ferrara F, Tasso C. Neighbor Selection and Recommendations in Social Bookmarking Tools [C]. In: Proceedings of the 9th International Conference on Intelligent Systems Design and Applications. 2009: 267-272.
[8] Chen H, Dumais S.Bringing Order to the Web: Automatically Categorizing Search Results[C]. In:Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York: ACM, 2000: 145-152.
[9] Shiratsuchi K, Yoshii S, Furukawa M. Finding Unknown Interests Utilizing the Wisdom of Crowds in a Social Bookmark Service[C]. In: Proceedings of the 2006 IEEE/ WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. Washington DC: IEEE Computer Society, 2006: 421-424.
[10] 易明, 邓卫华, 徐佳. 社会化标签系统中基于组合策略的个性化知识推荐研究[J].情报科学, 2011, 29(7): 1093-1097. (Yi Ming, Deng Weihua, Xu Jia. Study on Personalized Knowledge Recommendation Based on Hybrid Strategy in Tag System [J]. Information Science, 2011, 29(7): 1093-1097.)
[11] 刘健, 尹春霞, 原福永. 基于非结构化P2P网络用户模型的协同过滤推荐机制[J]. 山东大学学报: 理学版, 2011, 46(5): 28-33. (Liu Jian, Yin Chunxia, Yuan Fuyong. A Collaborative Filtering Recommendation Mechanism Based on User Profile in Unstructured P2P Networks [J]. Journal of Shandong University: Natural Science, 2011, 46(5): 28-33.)
[12] 魏建良, 朱庆华. 基于社会化标注的个性化推荐研究进展[J]. 情报学报, 2010, 29(4): 625-633. (Wei Jianliang, Zhu Qinghua. Advances in Personalized Information Recommen-dation Based on Social Tagging [J]. Journal of the China Society for Scientific and Technical Information, 2010, 29(4): 625-633.)
[13] 鲁欣, 周伟锋. 基于认知心理互动的网络信息组织的思考[J]. 图书馆学研究, 2008(5): 30-33. (Lu Xin, Zhou Weifeng. Reflect on Organization of Network Information Based on Interaction of Cognitive Psychology [J]. Researches in Library Science, 2008(5): 30-33.)
[14] Van Setten M, Brussee R, Van Vliet H, et al.On the Importance of ""Who Tagged What"" [C].In:Proceedings of the Workshop on the Social Navigation and Community Based Adaptation Technologies at AH 2006, Dublin, Ireland. 2006.
[15] Au Yeung C , Gibbins N, Shadbolt N. A Study of User Profile Generation from Folksonomies [C]. In: Proceedings of the Workshop on Social Web and Knowledge Management at the 17th International Conference on World Wide Web,Beijing, China.2008.
[16] 郭伟光, 李道芳, 章蕾. 一种社会化标注系统资源个性化推荐方法[J]. 计算机工程与应用, 2011, 47(10): 240-243. (Guo Weiguang, Li Daofang, Zhang Lei. Personalized Resource Recommendation Method in Social Tagging System [J]. Computer Engineering and Applications, 2011, 47(10): 240-243.)
[17] Cheng Y, Qiu G, Bu J J, et al. Model Bloggers'Interests Based on Forgetting Mechanism[C]. In: Proceedings of the 17th International Conference on World Wide Web. New York: ACM Press, 2008:1129-1130.
[18] 张小红. 协同过滤中的相似性度量方法的研究[J]. 无线电通信技术, 2013, 39(1): 94-96. (Zhang Xiaohong. Research on Similarity Metrics for Collaborative Filtering [J]. Radio Communications Technology, 2013, 39(1): 94-96.)