naa a22 4500 510797261 CHVBK 20180411083341.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11277-013-1264-z doi (NATIONALLICENCE)springer-10.1007/s11277-013-1264-z Contents Recommendation Method Using Social Network Analysis [Elektronische Daten] [Jong-Soo Sohn, Un-Bong Bae, In-Jeong Chung] With the recent tremendous increase in the volume of Web 3.0 content, content recommendation systems (CRS) have emerged as an important aspect of social network services and computing. Thus, several studies have been conducted to investigate content recommendation methods (CRM) for CRSs. However, traditional CRMs are limited in that they cannot be used in the Web 3.0 environment. In this paper, we propose a novel way to recommend high-quality web content using degree of centrality and term frequency-inverse document frequency (TF-IDF). In the proposed method, we analyze the TF-IDF and degree of centrality of collected RDF site summary and friend-of-a-friend data and then generate content recommendations based on these two analyzed values. Results from the implementation of the proposed system indicate that it provides more appropriate and reliable contents than traditional CRSs. The proposed system also reflects the importance of the role of content creators. Springer Science+Business Media New York, 2013 Social network nationallicence Web 3.0 nationallicence Social network analysis nationallicence Social network service nationallicence Content recommendation method nationallicence TF-IDF nationallicence FOAF nationallicence RSS nationallicence Sohn Jong-Soo Service Strategy Team, Visual Display Division, Samsung Electronics, 129 Samsung-ro, Yeongtong-gu, Suwon, Korea aut Bae Un-Bong Global IT Team, System Management Head Office, Lotte Data Communication Company, 533-2 Gasan-dong, Guemchun-gu, Seoul, Korea aut Chung In-Jeong Department of Computer and Information Science, Korea University, 2511 Sejong-ro, Sejong, Korea aut Wireless Personal Communications Springer US; http://www.springer-ny.com 73/4(2013-12-01), 1529-1546 0929-6212 73:4<1529 2013 73 11277 https://doi.org/10.1007/s11277-013-1264-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1264-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sohn Jong-Soo Service Strategy Team, Visual Display Division, Samsung Electronics, 129 Samsung-ro, Yeongtong-gu, Suwon, Korea aut NATIONALLICENCE 700 1- Bae Un-Bong Global IT Team, System Management Head Office, Lotte Data Communication Company, 533-2 Gasan-dong, Guemchun-gu, Seoul, Korea aut NATIONALLICENCE 700 1- Chung In-Jeong Department of Computer and Information Science, Korea University, 2511 Sejong-ro, Sejong, Korea aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 73/4(2013-12-01), 1529-1546 0929-6212 73:4<1529 2013 73 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer