Big Data Research ›› 2015, Vol. 1 ›› Issue (3): 23-35.doi: 10.11959/j.issn.2096-0271.2015026

• Special Topic:Network big data • Previous Articles     Next Articles

Big Data and Recommendation System

Cuiping Li,Mengwei Lan,Benyou Zou,Shaoqing Wang,Kankan Zhao   

  1. Key Laboratory of Data Engineering and Knowledge Engineering,Ministry of Education,Renmin University of China,Beijing 100872,China
  • Online:2015-06-20 Published:2020-09-28
  • Supported by:
    National Basic Research Program of China (973 Program)(2014CB340402);National High Technology Research and Development Program of China (863 Program)(2014AA015204);The National Natural Science Foundation of China(61272137);The National Natural Science Foundation of China(61033010);The National Natural Science Foundation of China(61202114);The National Social Science of Foundation of China(12&ZD220);The Project of Attracting Talents of Discipline to National Universities (111 Project)

Abstract:

In big data era,recommendation system is the key means to tackle the issue of “information overload”.Recommendation system has been widely applied to many domains.The most typical and promising domain is the e-commence.Recently,with the rapid development of e-commence,recommendation system becomes more and more important and is promoted as a hot research field.The history and development of recommendation system,its domain requirements and system architecture,its characteristics and challenges under big data environment,its key techniques,open source big data recommendation systems were introduced.And at last,the open research problems and future trends of bid data recommendation system were discussed.

Key words: big data, recommendation system, collaborative filtering

CLC Number: 

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