SNS Based Recommendation Algorithm

Author

So-Yeop Yoo ; Ok-Ran Jeong

Author_Institution

Dept. of Software Design & Manage., Gachon Univ., Seongnam, South Korea

fYear

2013

fDate

24-26 June 2013

Firstpage

1

Lastpage

3

Abstract

Social network service (SNS) based recommendation system is playing an important role in searching information in the vast number of SNS community websites. In this paper, we propose a recommendation algorithm using intimacy information based on the SNS after extracting information on the social network having relationship with the user. It is an algorithm to recommend the contents with high relationship based on the list of friends who are predicted as actually having close relationship with the user according to the familiarity after extracting the list of friends within the SNS using SNS information of the user.

Keywords

collaborative filtering; recommender systems; social networking (online); SNS community Web sites; SNS-based recommendation algorithm; content recommendation; information extraction; information search; intimacy information; recommendation system; social network service; Algorithm design and analysis; Data mining; Digital audio broadcasting; Educational institutions; Facebook; Software algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Applications (ICISA), 2013 International Conference on

Conference_Location

Suwon

Print_ISBN

978-1-4799-0602-4

Type

conf

DOI

10.1109/ICISA.2013.6579491

Filename

6579491