TY - GEN
T1 - A big data model supporting information recommendation in social networks
AU - Han, Xiaoyue
AU - Tian, Lianhua
AU - Yoon, Minjoo
AU - Lee, Minsoo
PY - 2012
Y1 - 2012
N2 - As information systems are becoming sophisticated and mobile, cloud computing, social networking services are now very popular to people, the amount of data is rapidly increasing every year. Big data is data which should be analyzed by a company or an organization, but has not been tried to be analyzed or could not have been processed by current technology. In this paper, we introduce a big data model for recommender systems using social network data. The model incorporates factors related to social networks and can be applied to information recommendation with respect to various social behaviors that can increase the reliability of the recommended information. The big data model has the flexibility to be expanded to incorporate more sophisticated additional factors if needed. The experimental results using it in information recommendation and using map-reduce to process it show that it is a feasible model to be used for information recommendation.
AB - As information systems are becoming sophisticated and mobile, cloud computing, social networking services are now very popular to people, the amount of data is rapidly increasing every year. Big data is data which should be analyzed by a company or an organization, but has not been tried to be analyzed or could not have been processed by current technology. In this paper, we introduce a big data model for recommender systems using social network data. The model incorporates factors related to social networks and can be applied to information recommendation with respect to various social behaviors that can increase the reliability of the recommended information. The big data model has the flexibility to be expanded to incorporate more sophisticated additional factors if needed. The experimental results using it in information recommendation and using map-reduce to process it show that it is a feasible model to be used for information recommendation.
KW - data model
KW - information recommendation
KW - social networks
UR - http://www.scopus.com/inward/record.url?scp=84874594087&partnerID=8YFLogxK
U2 - 10.1109/CGC.2012.125
DO - 10.1109/CGC.2012.125
M3 - Conference contribution
AN - SCOPUS:84874594087
SN - 9780769548647
T3 - Proceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012
SP - 810
EP - 813
BT - Proceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012
T2 - 2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012
Y2 - 1 November 2012 through 3 November 2012
ER -