An Infrastructure for Personalized Service System Based on Web2.0 and Data Mining

被引：0
|
作者：
Liu, Yu [1 ]
Li, Weijia [1 ]
Yao, Yuan [2 ]
Fang, Jing [1 ]
Ma, Ruixin [1 ]
Yan, Zhaofa [1 ]
机构：
[1] Dalian Univ Technol, Sch Software, Dalian 116620, Peoples R China
[2] Link Scholar Technol Co Ltd, Dalian 116025, Peoples R China
来源：
INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT I | 2011年 / 134卷 / 0I期
关键词：
web2.0; data mining; recommendation system; personalization;
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：
With the development of information technology, personalized web portals are becoming more and more popular. Personalization offers great opportunities to obtain information more effective and efficient, and personalized services can provide significant user benefits since they adapt their behaviors to better support the users. The paper designs an infrastructure of personalized service system through a case study. It provides a platform where users can share resources and exchange information about research papers, which is implemented at www.linkscholar.net.
引用
收藏
页码：686 / +
页数：2
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