TY - GEN
T1 - A recommendation model for social resource sharing systems based on tripartite graph clustering
AU - Üstünba̧, Yonca
AU - Öǧüdücü, Şule Gündüz
PY - 2011
Y1 - 2011
N2 - The use of folksonomies to recommend web pages and tags assigned to these pages, is an important research direction in web recommendation. In this study, we implement a model that fits tripartite structure of folksonomies and extracts valuable information for generating recommendations. Then we developed two types of recommendation systems that take advantage of this information; web page recommendation and tag recommendation. We compared our recommendation results with the results using bipartite clustering of web pages and tags. The experiments are conducted on the data set obtained from Del.ici.ous web site. The results show that this model generates better accuracy results for web page recommendation while extracting more useful information simultaneously which could be an extra to generate different types of recommendations.
AB - The use of folksonomies to recommend web pages and tags assigned to these pages, is an important research direction in web recommendation. In this study, we implement a model that fits tripartite structure of folksonomies and extracts valuable information for generating recommendations. Then we developed two types of recommendation systems that take advantage of this information; web page recommendation and tag recommendation. We compared our recommendation results with the results using bipartite clustering of web pages and tags. The experiments are conducted on the data set obtained from Del.ici.ous web site. The results show that this model generates better accuracy results for web page recommendation while extracting more useful information simultaneously which could be an extra to generate different types of recommendations.
KW - Folksonomy
KW - Recommendation model
KW - Social resource sharing system
UR - http://www.scopus.com/inward/record.url?scp=81255128254&partnerID=8YFLogxK
U2 - 10.1109/EISIC.2011.56
DO - 10.1109/EISIC.2011.56
M3 - Conference contribution
AN - SCOPUS:81255128254
SN - 9780769544069
T3 - Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011
SP - 378
EP - 381
BT - Proceedings - 2011 European Intelligence and Security Informatics Conference, EISIC 2011
T2 - 2011 1st European Intelligence and Security Informatics Conference, EISIC 2011
Y2 - 12 September 2011 through 14 September 2011
ER -