基于MVC的收視率分析預(yù)測(cè)系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)
[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.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2012
【分類(lèi)號(hào)】:TP311.52
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