| 基于Web挖掘与社会网络分析的用户聚类研究 |
| |
| 引用本文： | 张敏,刘海鹏,李鹏.基于Web挖掘与社会网络分析的用户聚类研究[J].数字图书馆论坛,2014(3):49-54. |
| |
| 作者姓名： | 张敏 刘海鹏 李鹏 |
| |
| 作者单位： | 西南大学计算机与信息科学学院,重庆4007J5 |
| |
| 基金项目： | 本文为国家社会科学基金“网络学术社区的信息聚合与共享模式研究”（编号：11CTQ038）的研究成果. |
| |
| 摘 要： | web用户聚类对于个性化服务、网站结构优化等具有重要意义。文章从用户的访问路径、项目评分等角度总结了用户聚类方法及算法，指出当前用户聚类研究存在的不足，提出了结合Web挖掘与社会网络分析方法的用户聚类的模型，分析了两者结合的必要性及结合策略，形成较为完善的用户聚类机制。
|
| 关 键 词： | Web4g掘 社会网络分析 用户聚类 |
User Clustering Based on Web Mining and Social Network Analysis |
| |
| Zhang Min,Liu Haipeng,Li Peng.User Clustering Based on Web Mining and Social Network Analysis[J].Digital Library Forum,2014(3):49-54. |
| |
| Authors: | Zhang Min Liu Haipeng Li Peng |
| |
| Institution: | / Computer and Information Science, Southwest University, Chongqing, 400715 |
| |
| Abstract: | Web user clustering has great significance in personalized service, website structure optimization, etc. In this paper, user clustering method and algorithm based on user access paths and item rating are summarized. The shortage of these studies is pointed out, and then an improved model combined with social network analysis and Web mining is put forward. With an analysis of the necessity and the application s~ategy, a relatively perfect mechanism of user clustering has come into being. |
| |
| Keywords: | Web mining Social network analysis User clustering |
| 本文献已被 维普 等数据库收录！ |
