电信科学 ›› 2014, Vol. 30 ›› Issue (7): 62-69.doi: 10.3969/j.issn.1000-0801.2014.07.010

• 研究与开发 • 上一篇    下一篇

基于大数据的电信领域用户服务模型与数据融合策略研究

高永梅1,2,琚春华2,鲍福光2   

  1. 1 杭州职业技术学院杭州310018
    2 浙江工商大学浙江310018
  • 出版日期:2014-07-20 发布日期:2017-08-17
  • 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;国家教育部博士点基金资助项目;浙江省2013年度高等教育教学改革基金资助项目;2013 年高等学校访问学者专业发展基金资助项目

The telecommunications customer service model based on big data and data fusion strategy research

Yongmei Gao1,2,Chunhua Ju2,Fuguang Bao2   

  1. 1 Hangzhou Vocational & Technical College, Hangzhou 310018, China
    2 Zhejiang Gongshang University, Hangzhou 310018, China
  • Online:2014-07-20 Published:2017-08-17

摘要:

摘要:移动互联网技术的迅猛发展,为移动电子商务发展奠定了基础,产生了新的移动消费模式。通过对大量的移动用户数据的来源与特征进行分析,设计了用户的特征模型,构建了融入情境分析的移动用户服务模型;在Hadoop架构的基础上搭建了电信领域大数据处理框架,并在电信业务数据融合与服务挖掘应用方面做了分析,为新移动消费、消费定制和个性化推荐与营销等提供了支持。

关键词: 移动互联网, 用户特征模型, 用户服务模型, 业务数据融合

Abstract:

The rapid development of mobile network and internet technology, laid the foundation for the development of mobile e-commerce, and a new mobile consumption patterns appeared. The user characteristics model was designed by analyzing a large number of mobile users data sources and characteristics, and mobile user service model with the context analysis was built. Then, the telecommunication data processing framework on the basis of Hadoop framework was built. And also the analyzation of telecommunication data fusion and service mining application was made. It can be supportive for the new mobile consumption, consumption custom and personalized recommendation and marketing, etc.

Key words: mobile internet, user characteristic model, user service model, business data fusion

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