摘要
提出了一种基于用户浏览行为、参数自适应的用户兴趣网页提取方法.该方法使用自动提取为主、人工提取为辅的分析技术,并采用BHO(浏览器助手对象)与钩子技术相结合的方式进行用户兴趣网页提取.实验结果表明,该方法具有较好的提取准确性.
This paper proposes a solution of extracting the users＇interested web document based on the behavior of users and self-adapting technology. The automatic extracting method is used with the assistance of artificial technique to implement the solution, combined with the BHO （Browser HelPer Object） and technology of hooking. The tests show that the users＇interested web document can be extracted accurately using this method.
出处
《重庆工学院学报（自然科学版）》
2009年第7期79-84,共6页
Journal of Chongqing Institute of Technology
基金
"重庆便民E站服务平台"(2007BAH08B04)
关键词
兴趣网页
浏览行为
自适应
interesting web pages
browsing action
adaptive
