A big data model supporting information recommendation in social networks

Xiaoyue Han, Lianhua Tian, Minjoo Yoon, Minsoo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012
Pages810-813
Number of pages4
DOIs
StatePublished - 2012
Event2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012 - Xiangtan, Hunan, China
Duration: 1 Nov 20123 Nov 2012

Publication series

NameProceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012

Conference

Conference2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012
Country/TerritoryChina
CityXiangtan, Hunan
Period1/11/123/11/12

Keywords

  • data model
  • information recommendation
  • social networks

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