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A big data model supporting information recommendation in social networks

Title
A big data model supporting information recommendation in social networks
Authors
Han X.Tian L.Yoon M.Lee M.
Ewha Authors
이민수
SCOPUS Author ID
이민수scopus
Issue Date
2012
Journal Title
Proceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012
Indexed
SCOPUS scopus
Abstract
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. © 2012 IEEE.
DOI
10.1109/CGC.2012.125
ISBN
9780769548647
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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