DocumentCode :
660879
Title :
Social Network Based Recommendation Systems: A Short Survey
Author :
Song Chen ; Owusu, Samuel ; Zhou, Liang
Author_Institution :
Dept. of Inf. Syst., Univ. of Maryland, Baltimore County, Baltimore, MD, USA
fYear :
2013
fDate :
8-14 Sept. 2013
Firstpage :
882
Lastpage :
885
Abstract :
This paper examines the background of the recommender systems and the state-of-art technologies in this current research area. We examined the needs for recommendation systems and the enhanced performance by using the additional social network information. We compared different types of social network information and how they are used to improve the recommendation systems with a few examples. We also discussed different evaluation methods that are important to measure the performances of a recommendation system. We concluded that the recommendation system is a very important research area and could be applied in many domains. We summarized different measures towards evaluating a recommendation system especially those incorporating the social network information.
Keywords :
recommender systems; social networking (online); social network based recommendation systems; social network information; state-of-art technologies; Accuracy; Bayes methods; Collaboration; Measurement; Prediction algorithms; Recommender systems; Social network services; Algorithms; Artificial Intelligence; Recommendation Systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Social Computing (SocialCom), 2013 International Conference on
Conference_Location :
Alexandria, VA
Type :
conf
DOI :
10.1109/SocialCom.2013.134
Filename :
6693431
Link To Document :
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