| 一个基于用户兴趣的blog推荐系统的设计 |
| |
| 引用本文： | 孙多.一个基于用户兴趣的blog推荐系统的设计[J].扬州大学学报(自然科学版),2011,14(1). |
| |
| 作者姓名： | 孙多 |
| |
| 作者单位： | 扬州大学信息工程学院,江苏扬州,225009 |
| |
| 摘 要： | 设计和实现了一个面向blog的兴趣挖掘和推荐系统blog-digger,该系统采用兴趣挖掘技术,主要根据用户在一定时间段对blog页面的浏览行为,判断出用户对blog网页的感兴趣程度,并采用文本分类技术对用户的兴趣进行挖掘,取得较好的兴趣挖掘结果.另外,结合页面重要度对网页进行排序,以确定最终推荐给用户的blog.实验表明该系统推荐的blog具有较高的主题内容相关.
|
| 关 键 词： | blog推荐 兴趣挖掘 相似度 |
A recommendation system for blog |
| |
| SUN Duo.A recommendation system for blog[J].Journal of Yangzhou University(Natural Science Edition),2011,14(1). |
| |
| Authors: | SUN Duo |
| |
| Institution: | SUN Duo(Sch of Inf Engin,Yangzhou Univ,Yangzhou 225009,China) |
| |
| Abstract: | According to the scanning behavior of the users to judge their interesting degree,the author describes the design and implementation of an interest mining,digs the users' interest and gets the better result by the document classification technology.Moreover,combining page importance for web sorting,the system determines the final recommended blog to the user.According this result,the recommended blog has high content related topics. |
| |
| Keywords: | blog recommendation interest mining similarity |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
