Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICISA.2013.6579491 | Information Science and Applications |
Keywords | Field | DocType |
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 | Recommender system,World Wide Web,Collaborative filtering,Social network,Algorithm design,Computer science,Algorithm,Digital audio broadcasting,Multimedia,Social network service | Conference |
ISSN | ISBN | Citations |
2162-9048 | 978-1-4799-0602-4 | 1 |
PageRank | References | Authors |
0.35 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| So-Yeop Yoo | 1 | 5 | 1.80 |
| Ok-Ran Jeong | 2 | 181 | 22.02 |