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| Frontier Dynamics of Big Data Recommendation Algorithm at Home and Abroad |
| Chen Jun1,2, Xie Weihong1,2, Chen Yangsen1 |
1.School of Management,Guangdong University of Technology,Guangzhou 510520,China
2.Big data Strategy Research Institute of Guangdong University of Technology,Guangzhou 510520,China |
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Abstract In the age of big data,the problem of information overload has become increasingly prominent,then the research on big data recommendation algorithm has become increasingly important.This paper takes the articles of big data recommendation algorithm from Web of Science and CNKI as data sources,and uses the method of bibliometrics,co-word analysis and SNA to do quantitative comparative analysis from co-word of high frequency keywords,the evolution of keywords and dynamics research.The results show that the abroad research on the theory and application of big data recommendation algorithm are matured than the domestic.Especially we should strengthen the study of the application's breadth and depth.Big data recommendation algorithm develops into the trend of individualized education,personalized medical care,personalized social network service and other applications.This paper has a certain guiding significance to promote the deep research of the theory of big data recommendation algorithm,the deep application research and the development of internationalization.
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Received: 16 March 2017
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2018, Vol. 0 
