Big Data Research ›› 2016, Vol. 2 ›› Issue (6): 110-117.doi: 10.11959/j.issn.2096-0271.2016071

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Modeling contextual big data for user behavior prediction

Shu WU,Qiang LIU,Liang WANG   

  1. Center for Research on Intelligent Perception and Computing,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
  • Online:2016-11-20 Published:2017-04-27
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China

Abstract:

In the big data era,information system has to handle a mass of data of contextual information,such as public opinion,environment information and economic status.Embedded with abundant details of user behavior,contextual information plays a significant role in effectively shaping user character and elaborately modeling user behavior.Two frameworks to model general context information through representation learning and a recurrent model for sequential context scenarios were involved.

Key words: contextual big data, context modeling, user modeling, behavior prediction

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