A Proposed Framework to Implicit Measures of User Interests through Country and Predicting Users’ Future Requests in WWW
Pragya Rajput1, Joy Bhattacharjee2, Roopali Soni3
1Pragya Rajput, M. Tech. Scholar, Department. Of CSE, Oriental College of Technology Bhopal, India.
2Joy Bhattacharjee, Department. of CSE Oriental College of Technology Bhopal, India.
3Roopali Soni,, Department. of CSE Oriental College of Technology Bhopal, India.
Manuscript received on February 03, 2013. | Revised Manuscript received on February 27, 2013. | Manuscript published on March 05, 2013. | PP: 340-343 | Volume-3 Issue-1, March 2013. | Retrieval Number: A1395033113/2013©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: WWW has become the center of attraction for business transactions and hence e-commerce due to its ease of use and speed. its ability from tracking the browsing behaviour of any user to even the mouse clicks of any individual has brought the vendor and end customer closer than ever before.WWW has made it possible for vendors to advertize their products i.e. they are personalizing their product messages for individual customers at a very large scale such a phenomenon is termed as mass communication such a utility is not only applicable for ecommerce but also such personalization is aiding several web browsing activities. Any action that tailors the web experience to any individual or several users is termed as web personalization. Web personalization is that the method of customizing an internet website to the wants of specific users, taking advantage of the information noninheritable from the analysis of the user’s guidance behaviour(Weblog data) in correlation with alternative data collected within the web context, namely, structure, content and user profile information. The domain of web personalization has gained importance both in the area of research and commerce. In this paper we proposed a framework of web log mining to implicit measures of user interests through Country and predicting users’ future requests in WWW.
Keywords: Web Log, Personalization, Web Usage Mining, Preprocessing, IP-Address, Country, WWW.