Friend Recommendation System in Social Network using Personality Analysis and User Behavior
Date
2016-11-20
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IUT, CSE
Abstract
Social networking is a tool used by people all around the world. Its purpose is
to promote and aid communication. Social networks, such as Facebook, were
created for the sole purpose of helping individuals communicate. These networks
are becoming the modern way to make friends. These new friends communicate
through these networks. There exist recommendation systems in all the social
networks which help users to nd new friends and connect to more peoples. With
friends, there comes a strong friend recommendation system also. The existing
social networks do have their own friend recommendation system which is based
on the friends of friends' methodology. This graph based friend recommendation
system is not very accurate most of the time and drive users to wrong direction.
We tried to make this recommendation system more accurate adding some extra
layers of personality analysis and user behavior. With the vast amount of user
data, our system will gure out each user's personality traits and behavior which
will be used to help him/her nding out new users with same nature.
Description
Supervisor
Prof. Dr. M.A. Mottalib
Head, Department of CSE
Co-Supervisor
Md. Mohiuddin Khan
Assistant Professor, Department of
CSE
Keywords
Citation
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