Personalized Search Engine Based on Granular Computing

被引：0
|
作者：
Xu, Lian-Feng [1 ]
Zhao, Zhi -Bing [1 ,3 ]
liu, Lan [2 ]
Qiu, Tao-Rong [2 ]
机构：
[1] NanChang Univ, Sch Software, Nanchang 330047, Jiangxi, Peoples R China
[2] NanChang Univ, Comp Technol Dept, Nanchang, Jiangxi, Peoples R China
[3] Tongji Univ, Shanghai, Peoples R China
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, VOLS 1 AND 2 | 2008年
关键词：
Search Engine; Abstract Context; Information Granule; Granular Computing;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A binary system in information granules is introduced in this article. Based on this system, a search engine of web page abstract information is constructed, where the search results are processed by granular reasoning. Firstly, definitions for information granule and preprocess, such as accord degree, granular matrix, granular relation matrix, constrained relation matrix, association degree and so on, have been represented Secondly, with these definitions, a personalized meta-info search engine experimental system is developed. Finally, the experimental results show that the search results returned by this system match user's expectation effectively.
引用
收藏
页码：690 / +
页数：2
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