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