International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 113

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014


Survey of User Modeling Techniques with Specific Emphasis on Considering Demographic Attributes

Prajakta Shitole | Mrs. M. A. Potey


Abstract: Users demographic attributes like age, gender location etc. plays an essential role in todays web applications. Previous research shows that there is relationship between users browsing behavior and their basic characteristics. In this paper we discuss various Data Mining and machine learning approaches for modeling and prediction of demographic characteristics. Data mining and machine learning techniques have the ability to handle large amounts of data and to process uncertainty. These characteristics make these techniques suitable for automatic generation of user models that simulate human decision making. The paper also represents guidelines that show which techniques may be used more efficiently according to the task implemented by the application.


Keywords: Demographic Attributes, Data Mining, Machine Leaning, user model, uncertainty, human decision making


Edition: Volume 3 Issue 12, December 2014,


Pages: 1366 - 1370


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How to Cite this Article?

Prajakta Shitole, Mrs. M. A. Potey, "Survey of User Modeling Techniques with Specific Emphasis on Considering Demographic Attributes", International Journal of Science and Research (IJSR), Volume 3 Issue 12, December 2014, pp. 1366-1370, https://www.ijsr.net/get_abstract.php?paper_id=SUB14712

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