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http://dx.doi.org/10.5909/JBE.2013.18.1.98

Personalized Contents Recommendation System Based on Social Network  

Lee, Seok-Pil (Division of Digital media technology, Sangmyung University)
Publication Information
Journal of Broadcast Engineering / v.18, no.1, 2013 , pp. 98-105 More about this Journal
Abstract
Patterns for generating and consuming contents are various in these days from conventional broadcasting contents to UCC. There are many researches on developing recommendation engines based on user's profile for providing desired contents. In this paper we propose a contents recommendation system using not only user's profile but other's profiles in closed user group of the social network based on patterns for user's consuming contents. The proposed recommendation agent update user's profile using usage history and other's profiles related to the user in the closed user group.
Keywords
social network; metadata; contents recommendation; user profile; personalized service;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 KITA Report, "SNS marketing examples of US enterprises", Jan. 2011
2 KEIT Report, "Any device platform", Jan. 2012
3 Deloitte TMT Predictions: The markets get anti-social with social networks.
4 Social Networks: Facebook Takes Over Top Spot, Twitter Climbs
5 Adweek: "Social Nets Engage in Global Struggle" 66% of MySpace and Facebook users come from North America.
6 Alexa.com: Nexopia stats on Alexa.com.
7 TechCrunch: Bebo - most popular of its kind in UK (August 2007).
8 MarketingVox : German Xing Plans Invasion of LinkedIn Turf.
9 Hi5 popular in Europe.
10 About.com: "Why Users Love Orkut" - 55% of users are Brazilian.
11 Saim Shin, Jong-Seol Lee, Se-Jin Jang, Seok-Pil Lee "The development of the bi-directionally personalized broadcasting and the targeting advertisement system based on the user profile techmniques", Journal of Broadcast Engineering, Vol 15, No. 5, September 2010
12 OpenSocial API Documentation. Google Code. Google. Retrieved on 2007-11-02
13 Seok-Pil Lee, Saim Shin, Sung-Ju Park, "A Social network service agent based on the consuming multiple contents",Conference on KSBE, November 2012
14 http://en.wikipedia.org/wiki/Dice%27s_coefficient