基于MVC的收视率分析预测系统设计与实现

发布时间：2018-11-01 18:49

【摘要】：现在的电视媒体,已经没有人再怀疑收视率调查的重要性。收视率统计数据已经成为电视媒体评价自己的节目类型、确定各频道和时段广告价位以及广告客户选择媒体、频道、时段和节目类型的重要依据。本文阐述的系统就是在天津广播电视集团提议开发设计的收视率分析预测系统,并希望能够通用到各个电视集团使用的系统产品。本篇论文主要介绍了如何运用J2EE模式开发天津广播电视集团收视率分析预测系统。主要包括：开发该系统的意义、系统关键技术、系统的设计模式、开发环境、开发工具等；其中重点介绍了：收视率分析预测系统中综合利用数理统计中分析预测算法和数据挖掘算法,对影响收视率的因素做聚类分析、因子分析、主成分分析等,得到收视率指标与这些因素之间的数量关系式,从而提供对电视节目类型收视率的科学预测。系统以MVC模式合理运用了Struts框架技术、EJB技术、数据库设计,此外还使用了新型的AJAX框架和JavaScript技术的运用等。在论文的必要部分,都附以部分关键代码说明。在文章的结尾,对整个开发工作做了总结,提出了下阶段工作的展望,并对给与项目有所帮助的人士致以谢意。
[Abstract]:No one in the television media now doubts the importance of ratings surveys. Ratings statistics have become an important basis for TV media to evaluate their own program types, determine the advertising price of each channel and time, as well as the advertisers to choose media, channels, time and program types. The system described in this paper is a rating analysis and prediction system proposed by Tianjin Radio and Television Group, and it is hoped that it can be applied to the system products used by various TV groups. This paper mainly introduces how to use J2EE mode to develop the ratings analysis and prediction system of Tianjin Radio and Television Group. It mainly includes: the significance of developing the system, the key technology of the system, the design pattern of the system, the development environment, the development tools and so on; The emphasis is put on the following aspects: the comprehensive use of mathematical statistics and data mining algorithms in the ratings analysis and prediction system, clustering analysis, factor analysis, principal component analysis, etc. The quantitative relationship between the ratings index and these factors is obtained, which provides a scientific prediction of the ratings of TV programs. The system uses Struts framework technology, EJB technology and database design in MVC mode. In addition, new AJAX framework and JavaScript technology are also used in the system. In the necessary part of the paper, are attached with some key code description. At the end of the article, the author summarizes the whole development work, puts forward the prospect of the next stage of the work, and expresses gratitude to those who have been helpful to the project.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TP311.52

【相似文献】