Web Browsing Behaviors Based Age Detection
Misha Kakkar1, Divya Upadhyay2
1Misha Kakkar, Computer Science & Engg., ASET-Amity University, Noida, India.
2Divya Upadhyay, Computer Science & Engg., ASET-Amity University, Noida, India.
Manuscript received on February 03, 2013. | Revised Manuscript received on February 26, 2013. | Manuscript published on March 05, 2013. | PP: 99-101 | Volume-3 Issue-1, March 2013. | Retrieval Number: F1256033113/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Age prediction, Browsing behavior, Artificial.