| 摘要: |
| 多示例学习为中文Web挖掘提供了一种新的思路.提出中文Web目录页面推荐这种特殊的Web挖掘任务,并且将其转化为多示例学习问题来解决.在真实世界数据集上的实验结果显示,该方法能够有效地解决该问题. |
| 关键词: 多示例学习 Web挖掘 机器学习 中文Web目录页面推荐 前缀树 |
| DOI： |
| 分类号: |
| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60105004(国家自然科学基金);the National Outstanding Youth Foundation of China under Grant No. 60325207(国家杰出青年科学基金);the National Grand Fundamental Research 973 Program of China under Grant No.2002CB312002(国家重点基础研究发展规划(973)) |
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| Chinese Web Index Page Recommendation Based on Multi-Instance Learning |
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LI Ming,XUE Xiao-Bing,ZHOU Zhi-Hua
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| Abstract: |
| Multi-Instance learning provides a new way to the mining of Chinese web pages. In this paper, a particular web mining task, i.e. Chinese web index page recommendation, is presented and then addressed through transforming it to a multi-instance learning problem. Experiments on the real world dataset show that the proposed method is an effective solution to the Chinese web index page recommendation problem. |
| Key words: multi-instance learning Web mining machine learning Chinese Web index page recommendation prefix tree |
