基于用户反馈的移动互联网流媒体业务用户体验评价系统的设计与实现
发布时间:2019-01-05 02:46
【摘要】:随着无线通信技术的发展及智能终端的普及,移动互联网不断影响着人们的生活和工作方式,与此同时,移动互联网下的流媒体业务也随之迅速发展。如何对流媒体业务质量进行评价,最大限度地提升用户对业务的体验,逐渐成为人们研究的热点。常用的流媒体业务质量评价分为主观方法和客观方法。主观测量系统虽然直观准确,但花费过大而且时效性差;相比之下,客观方法具有评估结果数值性、过程可重复性及易操作性等特点,适于实际操作。但常用的客观评价系统无法满足动态评价不同用户的网络需求及偏好,无法进行区分用户的个性化体验管理。因此,需要设计一套完善用户质量评价系统,能够对网络中流媒体业务的质量进行全面、实时、准确地评估。 本文首先根据标准组织给出的用户质量QoE管理的指标体系及其提取流程,从技术因素和非技术因素两方面分析,进而生成流媒体业务的评价指标,这些指标可以对流媒体业务进行全面、准确的反映。同时从流媒体评价模型入手,分析和对比了不同模型对于移动互联网下流媒体业务质量评价的适用性,并选择其中较为理想的评价方法进行质量评测。在完成指标的提取和模型的选择后,结合基于用户反馈的评价结果修正方法,对流媒体业务进行需求分析和系统的总体设计,完成对评价系统各功能模块的概要设计,并给出用例图。然后,设计基于用户反馈的流媒体评价系统的业务流程,并对评价系统功能模块进行详细设计,并给出类图及类方法的设计、数据库表的逻辑及设计细节。 最后,进行系统核心页面的展示,并对全文做出了总结,进一步说明基于反馈的流媒体评价系统在实际用户体验评价过程中的实用性。
[Abstract]:With the development of wireless communication technology and the popularization of intelligent terminals, the mobile Internet is constantly affecting the way people live and work. At the same time, streaming media services under the mobile Internet also develop rapidly. How to evaluate the quality of streaming media service to maximize the user's experience of the business has gradually become a hot topic. The quality evaluation of streaming media service is divided into subjective method and objective method. Although the subjective measurement system is intuitionistic and accurate, the cost is too large and the time efficiency is poor. In contrast, the objective method has the characteristics of numerical evaluation results, repeatability of the process and ease of operation, so it is suitable for practical operation. However, the commonly used objective evaluation system can not meet the needs and preferences of different users dynamically, and can not manage the differentiated users' personalized experience. Therefore, it is necessary to design a perfect user quality evaluation system, which can evaluate the quality of streaming media services in a comprehensive, real-time and accurate manner. Firstly, according to the index system of user quality QoE management given by the standard organization and its extraction process, this paper analyzes the technical factors and non-technical factors, and then generates the evaluation index of streaming media business. These indexes can reflect streaming media business comprehensively and accurately. At the same time, this paper analyzes and compares the applicability of different models to the quality evaluation of streaming media services under the mobile Internet, and selects the more ideal evaluation methods to evaluate the quality of streaming media services. After the completion of index extraction and model selection, combined with the evaluation result correction method based on user feedback, the requirement analysis of streaming media service and the overall design of the system are carried out, and the outline design of each functional module of the evaluation system is completed. The use case diagram is given. Then, the business process of streaming media evaluation system based on user feedback is designed, and the function module of the evaluation system is designed in detail, and the design of class diagram and class method, the logic and design details of database table are given. Finally, the core pages of the system are displayed, and the full text is summarized, which further explains the practicability of the feedback based streaming media evaluation system in the actual user experience evaluation process.
【学位授予单位】:北京邮电大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP393.01;TN929.5
本文编号:2401159
[Abstract]:With the development of wireless communication technology and the popularization of intelligent terminals, the mobile Internet is constantly affecting the way people live and work. At the same time, streaming media services under the mobile Internet also develop rapidly. How to evaluate the quality of streaming media service to maximize the user's experience of the business has gradually become a hot topic. The quality evaluation of streaming media service is divided into subjective method and objective method. Although the subjective measurement system is intuitionistic and accurate, the cost is too large and the time efficiency is poor. In contrast, the objective method has the characteristics of numerical evaluation results, repeatability of the process and ease of operation, so it is suitable for practical operation. However, the commonly used objective evaluation system can not meet the needs and preferences of different users dynamically, and can not manage the differentiated users' personalized experience. Therefore, it is necessary to design a perfect user quality evaluation system, which can evaluate the quality of streaming media services in a comprehensive, real-time and accurate manner. Firstly, according to the index system of user quality QoE management given by the standard organization and its extraction process, this paper analyzes the technical factors and non-technical factors, and then generates the evaluation index of streaming media business. These indexes can reflect streaming media business comprehensively and accurately. At the same time, this paper analyzes and compares the applicability of different models to the quality evaluation of streaming media services under the mobile Internet, and selects the more ideal evaluation methods to evaluate the quality of streaming media services. After the completion of index extraction and model selection, combined with the evaluation result correction method based on user feedback, the requirement analysis of streaming media service and the overall design of the system are carried out, and the outline design of each functional module of the evaluation system is completed. The use case diagram is given. Then, the business process of streaming media evaluation system based on user feedback is designed, and the function module of the evaluation system is designed in detail, and the design of class diagram and class method, the logic and design details of database table are given. Finally, the core pages of the system are displayed, and the full text is summarized, which further explains the practicability of the feedback based streaming media evaluation system in the actual user experience evaluation process.
【学位授予单位】:北京邮电大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP393.01;TN929.5
【参考文献】
相关期刊论文 前6条
1 张国平;景海峰;;AHP和灰色关联分析在对象关系映射模式中的应用[J];计算机科学;2006年10期
2 佟雨兵;胡薇薇;杨东凯;张其善;;视频质量评价方法综述[J];计算机辅助设计与图形学学报;2006年05期
3 罗军舟;吴文甲;杨明;;移动互联网:终端、网络与服务[J];计算机学报;2011年11期
4 林闯;胡杰;孔祥震;;用户体验质量(QoE)的模型与评价方法综述[J];计算机学报;2012年01期
5 蒋杨永;蒋建华;;基于BP神经网络的虚拟企业风险评价研究[J];计算机仿真;2009年12期
6 王钰,郭其一,李维刚;基于改进BP神经网络的预测模型及其应用[J];计算机测量与控制;2005年01期
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