基于用户评价的同类型电影评价预估实现

 2022-01-17 11:01

论文总字数:19159字

目 录

1 绪论 1

1.1 国产电影的生存现状和市场现状 1

1.2 电影评价预测的意义 1

1.3研究的目的和意义 2

2 电影评价预测及其影响因素 3

2.1电影评价预测 3

2.2 电影评价的影响因素 3

3 目前电影评测预估的常用方法 4

3.1推荐算法 4

3.2 几种常见的推荐算法 4

3.3 协同推荐算法 4

3.4 Jaccard公式 5

3.5余弦相似度算法.................................................................................................................... 5

3.6其他较为先进的电影评估算法实现.....................................................................................6

4 本次设计系统开发环境与运用软件.........................................................................7

4.1设计系统和开发环境 7

4.2设计系统运用软件................................................................................................................ 7

4.3设计所涉及到的函数和编写数据.........................................................................................7

5.电影评估的实现................................................................................................................. 8

5.1数据预处理生成评分矩阵.................................................................................................... 8

5.2计算用户之间的喜好相似度.................................................................................................9

5.3对于用户对电影评价的预测...............................................................................................10

5.4毕设效果展示...................................................................................................................... 11

6.用MATLAB设计完成一个GUI操作界面 13

7.总结和展望 14

  1. 参考文献................................................................ 15
  2. 致谢.................................................... 16

基于用户评价的同类型电影评价预估实现

刘宇坤

, China

Summary:Nowadays, human society has entered the 21st century, the development of human culture is in a mature process, especially the information exchange and film industry is in a mature period. People have been sitting together hundreds of years ago to see the shadow play, can be changed to be able to watch a variety of movies at home alone. The film and television industry is also in such a large environment into the period of rapid development, a variety of themes such as the rain poured into everyone's daily life. The film industry as a global industry, its coverage is very wide, just a well-known Hollywood, the annual film coverage of the amount of up to tens of billions of dollars. Every year tens of thousands of films are released around the world, but the audience is recognized and loved by the rare, at the same time those who do not like people's favorite film has become a waste of resources, not only time and effort to waste shooting costs, And wasting the audience time. Then as a film investment and photographer, in the increasing cost of shooting and increasingly fierce business competition makes the film's investment risk greatly increased, then understand the expected filming theme is subject to the audience's favorite, will not have a Good box office is particularly important. This time a film evaluation is particularly important, it can help the audience to select their favorite movies, but also can help the film investors to make rational investment.

Based on MATLAB programming software, this paper designs a project to predict the evaluation of the film based on the existing database. Predictive technology in the relevant technology support, in the mining of data and analysis, statistics, etc. have been used in many ways. However, the evaluation of the film evaluation mentioned in this paper is still very small, mainly because the film evaluation involves a wide range of things, such as actors, directors, distribution companies, etc. are the impact of evaluation standards.

Key words: film evaluation prediction, algorithm identification, evaluation effect, MATLAB

1. 绪论

目前电影行业是人们生活中的重要组成部分之一,人们的物质理念和精神世界乃至业余生活都受到了不小的影响。电影在世界各国的文化交流中也起着至关重要的作用,是不同风俗地区相互了解的重要媒介,可以说,电影文化是世界交流融合必不可少的一部分。到现在为止,电影已经有一百多年的历史了。随着时代的发展,电影也从当初单纯的供人娱乐的玩物,慢慢转化为一种受人欢迎的商品,甚至其中一些比较经典的电影更是被人们奉为一种艺术。慢慢的,在多如牛毛的电影诞生的同时,一种叫做电影学的课题应景而生。其中,对于用户对于一个新电影的评价和票房预估便是其中最重要的一部分。它的研究和探索领域十分的广阔。

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