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ISSN: 2319-9873

Research & Reviews: Journal of Engineering and Technology
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Research Article

Friend Recommendation on Social Network Site Based on their Life Style

Ramya R*, Bonshia Binu

CSE Department, Ponjesly College of Engineering, India

*Corresponding Author:
Ramya R
PG Student CSE department
Ponjesly college of Engineering, India
E-mail: [email protected]

Received date: 09/01/2016; Accepted date: 21/03/2016; Published date: 28/03/2016

 

Abstract

Social network sites attracted millions of users. In the social network sites, a user can register other users as friends and enjoy communication. Existing social networking sites recommend friends to users based on their social graphs, which may not be appropriate. In proposed system friends recommends to users based on their life styles instead of social graphs. It done by means of sensor rich smart- phone serve as the ideal platform for sensing daily routines from which people’s life styles could be discovered. Unsupervised learning method is used. Achieve an efficient activity Recognition and reduce the false positive of Friend Recommendation. Friendbook integrates a feedback mechanism. Finally the results show that the recommendations accurately reflect the preferences of users in choosing friends.

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