计算机与现代化

• 应用与开发 • 上一篇    下一篇

 基于NPTB模型的影视网站影片推广组合预测

  

  1. 江苏科技大学经济管理学院,江苏镇江212003
  • 收稿日期:2013-08-13 出版日期:2014-01-20 发布日期:2014-02-10
  • 作者简介: 杨帅(1987-),男,安徽萧县人,江苏科技大学经济管理学院硕士研究生,研究方向:客户关系管理; 马少辉(1972-),副教授,博士,研究方向:客户关系管理。
  • 基金资助:
     国家自然科学基金资助项目(71171100)

 Adaptive Combined Forecasting for Promotion of Television #br#  Website On-line Video Based on NPTB Model

  1. School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, China
  • Received:2013-08-13 Online:2014-01-20 Published:2014-02-10

摘要: 在结合影视观众基本信息的前提下,针对影视网站新上线收费影片的类型,本文提出在NPTB(Next-Product-to-Buy)模型的基础上融入组合预测模型,用来预测影视观众下一部可能接受观看的影片概率,在此基础上选择观看此类型影片概率最高的观众进行影片推广,以期达到影视网站盈利的目的。实验表明,本研究所用模型明显优于其它预测观众观看影片概率的模型。

关键词:  , NPTB模型, 组合预测, 影视网站, SPSS

Abstract:  Under the premise of combination film and television audiences basic information, targeted at the film website new type of on-line charges videos, this paper proposes integration into the combination forecasting model on the basis of NPTB model. The model is used to predict the probability of a television audience watching which videos next, and to choose the highest probability of this type of movie viewers for movie promotion. So the purpose of film and television website’s earning is achieved. The example shows that this study is superior to the other prediction audience watch videos probability model.

Key words: NPTB model, combination forecast, television website, SPSS