Friend Recommendation System in Social Network using Personality Analysis and User Behavior

Neehal, Nafis; Noor, Shoaib Bin

dc.contributor.author	Neehal, Nafis
dc.contributor.author	Noor, Shoaib Bin
dc.date.accessioned	2017-10-25T10:22:18Z
dc.date.available	2017-10-25T10:22:18Z
dc.date.issued	2016-11-20
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dc.identifier.uri	http://hdl.handle.net/123456789/102
dc.description	Supervisor Prof. Dr. M.A. Mottalib Head, Department of CSE Co-Supervisor Md. Mohiuddin Khan Assistant Professor, Department of CSE	en_US
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	IUT, CSE	en_US
dc.title	Friend Recommendation System in Social Network using Personality Analysis and User Behavior	en_US
dc.type	Thesis	en_US