The Search Engine for Articles and Multimedia in Blogs

被引:0
|
作者
Cheng, Shu-Chen [1 ]
Huang, Kao-Pin [1 ]
Chen, Yun-Chung [1 ]
机构
[1] So Taiwan Univ, Dept Comp Sci & Informat Engn, Tainan 710, Taiwan
关键词
Information Retrieval; Blog; Term Frequency; Inverse Document Frequency;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Since the development of information technology and internet, more and more people share multimedia files via internet, including images, animation or music. Blogs have become one of the means to share multimedia, life and study experiences on internet. Nowadays, there are quite huge amount of texts and multimedia in blogs. The quality of contents of blogs is so ragged that this phenomenon somehow would lead to negative influence on the blogs' learners. This research attempts to utilize the features of articles and multimedia to categorize multimedia in blogs. This system reveals that to effectively separate the quintessence and rubbish multimedia can improve learners' quality of learning by obtaining quintessence articles and multimedia effectively.
引用
收藏
页码:758 / 767
页数:10
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