Content Trust Based Trustworthy News Search Engine

被引：0
|
作者：
Wang Xiaojun [1 ,2 ]
Zeng Guosun [1 ,2 ]
Wang Wei [1 ,2 ]
机构：
[1] Tongji Univ, Dept Comp Sci & Engn, Shanghai 201804, Peoples R China
[2] Tongji Univ, Natl Engn & Technol Ctr High Performance Comp, Shanghai 201804, Peoples R China
来源：
2008 INTERNATIONAL SEMINAR ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, PROCEEDINGS | 2008年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/FITME.2008.107
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Search engine is an essential tool for information retrieval in internet. However, key-match based full-lext search engine always returns masses of results, most of which called "spam pages" trouble the user to precisely and speedily find the needed information. In this paper, we take content trust semantic into internet information retrieval, using the trust evaluation technique based on trust-facts to compute the trust-degree of web page. We then sort the web pages in ascending order according to trust-degree, and make the search results be more correlative and credible. Finally, integrating the key algorithms we devise, we design a prototype system of Trustworthy News Search Engine, and analyze the system with some examples.
引用
收藏
页码：144 / +
页数：2
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