文章基本信息

标题：Web Browsing Behaviors Based Age Detection
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作者：Misha Kakkar ; Divya Upadhyay
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：1
页码：99-101
出版社：International Journal of Soft Computing & Engineering
摘要：Users basic attributes like age, gender location etc… plays an essential role in today’s web applications. Previous research shows that there is relationship between users’ browsing behavior and their basic characteristics. In this paper we made an approach to detect a user’s age depending on his web browsing history. The user’s web browsing behaviors is treated as a variable to propagate age information between different users. Artificial neural network tool is used for this purpose. Uses are divided into two different categories of adult and youngsters. The result is 93.7% accurate.
关键词：Age prediction; Browsing behavior; Artificial.