用户洞察分析系统的设计与实现
发布时间：2018-10-18 16:39
【摘要】：随着移动互联网蓬勃发展,手机用户总数庞大且逐步增加,这给电信运营商发展带来机遇和挑战。微信、微博等新媒体软件给电信运营商的语音通话、短消息服务等传统业务带来很大的冲击,三大运营商竞争激烈,挖掘用户需求、定制化服务成为取得竞争优势的重要途径;数量庞大的移动互联网用户的业务使用和行为活动产生了电信大数据,给数据存储和处理带来很大的压力;手机用户越来越不满足于传统的业务服务和大众化服务,用户对个性化服务要求越来越高。本文提出的用户洞察分析系统,基于Hadoop分布式存储和处理技术,整合和分析联通用户数据,挖掘用户特征,描述用户画像,既解决了电信大数据的问题,又可为用户个性化服务和精准营销,占据竞争优势,提高运营商收益。本文主要通过介绍事实标签分析模块、基础统计模块和系统用户权限管理模块来阐述系统的设计与实现。事实标签模块负责处理和分析海量用户数据,包括联通运营商提供的语音通话详单数据、上网详单数据、应用数据和位置数据等,挖掘用户在语音通话、上网流量、上网小区、访问应用等方面的数据特征;基础统计模块主要对基本数据处理后的可视化实现;系统用户权限管理模块对系统用户、角色和权限进行了设计,实现了系统权限的管理。本人参与了用户洞察分析系统的需求分析、设计以及实现。在进行需求分析时,通过用例图、原型等获取和明确系统需求;根据系统需求分析,进行系统模块的划分、详细设计和实现,主要参与了事实标签分析模块的设计与实现,独立完成了基础统计模块和系统用户权限管理模块的设计与实现。目前,该系统处于研发阶段后期,部署于测试环境中的用户洞察分析系统运行良好;本人参与和负责完成的模块功能完善、运行稳定。
[Abstract]:With the rapid development of mobile Internet, the total number of mobile phone users is huge and gradually increasing, which brings opportunities and challenges to the development of telecom operators. WeChat, Weibo and other new media software bring great impact to the traditional business such as voice call, short message service and so on. A large number of mobile Internet users' business use and behavior activities have produced the telecom big data, which has brought great pressure to data storage and processing. Mobile phone users are increasingly not satisfied with traditional business services and mass services. Users are demanding more and more personalized services. The user insight analysis system proposed in this paper, based on Hadoop distributed storage and processing technology, integrates and analyzes Unicom user data, excavates user characteristics, describes user portrait, and solves the problem of telecommunication big data. Personalized services and accurate marketing for users, occupy a competitive advantage, improve the operator's income. This paper describes the design and implementation of the system by introducing the fact label analysis module, the basic statistics module and the user authority management module of the system. The fact label module is responsible for processing and analyzing massive user data, including voice call detail sheet data provided by Unicom operator, Internet detail list data, application data and location data, and so on, mining users in voice calls, Internet traffic, and online communities. Access to the application of data features; basic statistics module is mainly to the basic data processing of visualization; system user rights management module to design the system users, roles and permissions to achieve the management of system permissions. I participated in the user insight analysis system requirements analysis, design and implementation. In the process of requirement analysis, the system requirements are obtained and defined by use case diagram, prototype and so on. According to the system requirement analysis, the system modules are divided, designed and implemented in detail, which mainly participate in the design and implementation of the fact label analysis module. The design and implementation of the basic statistics module and the user rights management module are completed independently. At present, the system is in the late stage of research and development, and the user insight analysis system deployed in the test environment runs well.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52
本文编号：2279725
[Abstract]:With the rapid development of mobile Internet, the total number of mobile phone users is huge and gradually increasing, which brings opportunities and challenges to the development of telecom operators. WeChat, Weibo and other new media software bring great impact to the traditional business such as voice call, short message service and so on. A large number of mobile Internet users' business use and behavior activities have produced the telecom big data, which has brought great pressure to data storage and processing. Mobile phone users are increasingly not satisfied with traditional business services and mass services. Users are demanding more and more personalized services. The user insight analysis system proposed in this paper, based on Hadoop distributed storage and processing technology, integrates and analyzes Unicom user data, excavates user characteristics, describes user portrait, and solves the problem of telecommunication big data. Personalized services and accurate marketing for users, occupy a competitive advantage, improve the operator's income. This paper describes the design and implementation of the system by introducing the fact label analysis module, the basic statistics module and the user authority management module of the system. The fact label module is responsible for processing and analyzing massive user data, including voice call detail sheet data provided by Unicom operator, Internet detail list data, application data and location data, and so on, mining users in voice calls, Internet traffic, and online communities. Access to the application of data features; basic statistics module is mainly to the basic data processing of visualization; system user rights management module to design the system users, roles and permissions to achieve the management of system permissions. I participated in the user insight analysis system requirements analysis, design and implementation. In the process of requirement analysis, the system requirements are obtained and defined by use case diagram, prototype and so on. According to the system requirement analysis, the system modules are divided, designed and implemented in detail, which mainly participate in the design and implementation of the fact label analysis module. The design and implementation of the basic statistics module and the user rights management module are completed independently. At present, the system is in the late stage of research and development, and the user insight analysis system deployed in the test environment runs well.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52
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