Interest Analysis Based-On Knowledge Websites Through User-Browsing-Behavior

被引：0
|
作者：
Guo, Junxia [1 ]
Han, Hao [2 ]
Zeng, Weijia [3 ]
Lu, Gang [1 ]
机构：
[1] Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing, Peoples R China
[2] Univ Tokyo Hosp, Tokyo, Japan
[3] Dalian Inst Sci & Technol, 999-26 Binggang Rd, Dalian, Liaoning, Peoples R China
来源：
FUZZY SYSTEMS AND DATA MINING III (FSDM 2017) | 2017年 / 299卷
关键词：
browsing trends; interest level; user-browsing-behavior; knowledge websites;
D O I：
10.3233/978-1-61499-828-0-100
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Internet is becoming more and more important for nearly everybody as it is one of the most forward-looking media for free bidirectional knowledge and information communication than traditional media, such as newspaper and television. In this paper, we analyze the browsing trends and interest levels of different population groups based on Web browsing behaviors reflected by net view data(2). The statistical results present the trends of concern on various topics of panel users with different gender, age, education level, income level, etc.
引用
收藏
页码：100 / 106
页数：7
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