Face Location - A Novel Approach to Post the User global Location

Venkata Ramana Adari, Ch. Diwakar, P.Suresh Varma


Today Web users are facing the problems of information overload on the World Wide Web which stores vast source of data. As a result, how to provide Web users with more exactly needed information is becoming a critical issue in web based information . People populate more information on Social Network Sites as their profile data and etc. Now a days most of the users have accounts in social network sites. In this paper we are discussing the popular document classifiers to find the location of a user  in the social networking sites,In this paper we make use of the profile data and other information to achieve the objective of RRR which is to give Right information to the Right set of People at Right Time In this paper, we present Supervised learning: a method to cascade the decision tree learning methods in classifying locations of the users posted in a social network site.

Keywords Supervised Learning, Web mining,Social networks, Decision tree, facebook.

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ISSN (Paper)2224-5774 ISSN (Online)2225-0492

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