Detecting the Age of a Person Through Web Browsing Patterns: A Review
Chinmay Swami1, Prasad Tarte2, Sagar Rakshe3, Sumit Raut4, Nuzhat F. Shaikh5
1Chinmay Swami, Computer Engineering, University of Pune, Modern education society college of engineering, Pune, India .
2Prasad Tarte, Computer Engineering, University of Pune, Modern education society college of engineering, Pune, India .
3Sagar Rakshe, Computer Engineering, University of Pune, Modern education society college of engineering, Pune, India .
4Sumit Raut, Computer Engineering, University of Pune, Modern education society college of engineering, Pune, India .
5Nuzhat F. Shaikh, Associate Professor in the Department of Computer Engineering at MES College of Engineering, Pune, India
Manuscript received on November 02, 2014. | Revised Manuscript received on November 04, 2014. | Manuscript published on November 05, 2014. | PP: 4-8 | Volume-4 Issue-5, November 2014. | Retrieval Number: E2386114514/2014©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: As the use of internet is growing day by day, the basic attributes of the user such as his age, his location, his preferences are of a great value to various business corporations. We are aware of the fact that there is some connection between the browsing behavior and the basic characteristics of the user. In this paper we have made an effort to summarize the various aspects related to detecting the age of the person through his browsing patterns.
Keywords: Age Prediction, Back-Propagation Neural Networks, Connectionism and neural nets, Concept learning.