| 基于用户浏览兴趣的网页预取策略 |
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| 引用本文： | 高凯,王永成,李刚.基于用户浏览兴趣的网页预取策略[J].上海交通大学学报,2006,40(3):499-501,506. |
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| 作者姓名： | 高凯 王永成 李刚 |
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| 作者单位： | 上海交通大学,计算机科学与工程系,上海,200240 |
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| 基金项目： | 国家高技术研究发展计划(863)项目(2002AA119050) |
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| 摘 要： | 提出一种基于用户历史浏览情况对未来相关网页进行预取的算法.该算法能自适应调整用于生成会话的参数,并使用Session-tree结构完成对相关页面的预取.在实现中考虑到用户在特定事件和时间下的历史浏览行为,使用奖励因子和快速排序策略以提高效率.试验分析结果表明,基于自适应会话调整及群体共同兴趣剖像的预取算法能较好地完成对相关页面的预取.
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| 关 键 词： | 数据挖掘 网页预取 会话 兴趣剖像 |
| 文章编号： | 1006-2467（2006）03-0499-03 |
| 收稿时间： | 2005-03-12 |
| 修稿时间： | 2005-03-12 |
A Strategy for Pre-Fetching Based on Usage Information |
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| GAO Kai,WANG Yong-cheng,LI Gang.A Strategy for Pre-Fetching Based on Usage Information[J].Journal of Shanghai Jiaotong University,2006,40(3):499-501,506. |
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| Authors: | GAO Kai WANG Yong-cheng LI Gang |
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| Institution: | Dept. of Computer Science and Eng. , Shanghai Jiaotong Univ. , Shanghai 200240, China |
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| Abstract: | This paper proposed an approach to predictive prefetching,which consists of an adaptive session generation method to extract navigational behaviors from Web log and a Session-tree structure to organize sessions for fast retrieval.It presents an algorithm to segment historical information of individuals' browsing behaviors into sessions based on the similarity,and the session-tree can retrieve those subsequences both by events and timestamps efficiently.The experimental results show that this method which is based on the adaptive session generation and the common interest profile can work well. |
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| Keywords: | data mining pre-fetching session interest profile |
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