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

• 研究 • 上一篇    下一篇

情境大数据建模及其在用户行为预测中的应用

吴书,刘强,王亮   

  1. 中国科学院自动化研究所智能感知与计算研究中心,北京 100190
  • 出版日期:2016-11-20 发布日期:2017-04-27
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目

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

摘要:

随着大数据时代的到来,信息系统收集了海量情境信息,如舆情信息、环境信息、经济信息等。这些情景大数据提供丰富的细节信息,更细致地刻画行为背景以辅助用户行为建模。阐述了两种使用表达学习策略建模一般化情境信息的框架,并针对情境大数据中最常见的时序情境建模问题,使用循环神经网络建模时序情境中的序列依赖关系。

关键词: 情境大数据, 情境建模, 用户建模, 行为预测

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

No Suggested Reading articles found!