| 基于类Markov链的用户浏览行为预测方法 |
| |
| 引用本文： | 何丽. 基于类Markov链的用户浏览行为预测方法[J]. 计算机工程, 2008, 34(22): 32-33 |
| |
| 作者姓名： | 何丽 |
| |
| 作者单位： | 天津财经大学理工学院,天津,300222 |
| |
| 基金项目： | 天津市高等学校科技发展基金资助项目(20061015) |
| |
| 摘 要： | 根据浏览历史对用户进行有效聚类，建立基于用户聚类的用户浏览行为预测模型是Web环境下实现个性化服务的关键。该文对系统用户进行聚类，产生相似用户群，根据每个相似用户群的浏览特征，建立基于相似用户群的类Markov链用户浏览行为预测模型，实验验证了该模型的有效性。
|
| 关 键 词： | 浏览序列 用户聚类 Markov链 |
| 修稿时间： | |
Prediction Method of User Browsing Behaviors Based on Classified Markov Chain |
| |
| HE Li. Prediction Method of User Browsing Behaviors Based on Classified Markov Chain[J]. Computer Engineering, 2008, 34(22): 32-33 |
| |
| Authors: | HE Li |
| |
| Affiliation: | (College of Technology, Tianjin University of Finance and Economics, Tianjin 300222) |
| |
| Abstract: | In Web environment, clustering Web users based on the browsing behaviors and building user browsing sequences prediction model based on user cluster are keys to achieve the personalized services. This paper produces similar user groups through clustering Web users. According to browsing features of each similar user group, the classified Markov chains based on the different similar user groups are built. Experimental result shows the efficiency of the model. |
| |
| Keywords: | browsing sequence user clustering Markov chain |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程》浏览原始摘要信息 |
|
点击此处可从《计算机工程》下载免费的PDF全文 |
