文章目录

摘要

近年来，随着人们的生活水平不断提高，人们娱乐的方式越来越多，电影作为一种娱乐途径，它成为人们生活中必不可少的一部分，电影网作为传播电影的一种重要媒介，它应具有电影相关信息展示，推荐等主要功能，但目前电影网大部分只有电影信息的展示，很难让用户将他们的兴趣点开发到极致，这些电影网可能满足不了用户不断增长的需求，本电影网主要解决现今网站中电影推荐机制的匮乏，从不同方面对电影进行推荐，是本系统的核心功能，此外，还有电影信息的展示，用户评论电影，评分高的电影下的影评都会上榜，这样就加强了用户与电影之间的联系，进一步满足了用户对于推荐的需求。

网站主要设计语言为Java，开发工具主要有WebStorm、Eclipse、Tomcat、MySQL，通过调查线上资源现状与线下使用现有网站的反馈来获取用户需求，总结出电影网具有的几大功能模块：用户登录注册模块、电影分类模块、电影详情模块、电影评论模块、电影排行榜模块，影评鉴赏模块、用户个人中心模块、电影推荐模块、影院选座模块等九大模块，详细设计中，详细介绍了网站主要数据库表的详细字段设计，实体设计，核心算法等，数据库设计考虑到电影推荐机制，加入与推荐相关的字段，实体类设计与数据库表设计紧密对应，网站重点研究核心的推荐算法，从数据的来源，到数据的处理再到核心推荐算法的设计在系统实现部分有了详细阐述，最后，网站经过严格的功能测试，系统已经可以满足大多数需求，在测试过程中，出现的问题都被解决，目前网站系统运行流畅，也增加了一定的系统健壮性，满足了网站的设计需求。

关键词: B/S结构；电影网；推荐系统；Java Web；SSM

Abstract

Abstract In recent years, with the improvement of people’s living standards, people have more and more ways to entertain. As a way of entertainment, movies have become an indispensable part of people’s lives. As an important medium for the transmission of movies, the movie network has the function of displaying information and recommending, but the current network is only electric. The display of shadow information is difficult to allow users to develop their interest to the extreme. These film networks cannot meet the needs of the user’s growth. The film network mainly solves the lack of film recommendation mechanism in today’s Web sites and recommends movies from different aspects. It is the core function of this system, as well as the display of film information, and user comments. Movies, movie reviews under highly rated films will be listed, strengthening the connection between users and movies, and meeting the needs of users for recommendation.

The main design language of the Website is Java, and the development tools mainly include WebStorm, Eclipse, Tomcat and MySQL. Through the investigation on the status of the line and the feedback from the line, we can get the user’s demand, and summarize the function modules of the movie network: the user login module, the movie classification, the movie details, the movie reviews, the film rankings, and the movie reviews. In detail, the detailed field design, entity design, core algorithm, etc. of the main database tables of the Website are introduced in detail. The database design takes into account the recommendation of the film, joins the fields related to the recommendation, the entity class design and the database table. According to the close correspondence, the Website focuses on the core recommendation algorithm. From the source of the data to the data processing and the recommendation algorithm, the design of the recommendation algorithm is elaborated in the system implementation part. Finally, the Web site has been able to meet most requirements after the function test, and the problems in the test process are solved. At present, the Website system runs smoothly, and also adds a certain system robustness to meet the design needs of the Website.

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