Abstract
After the implementation of the "Internet +" strategy, the level of informatization
in many industries has been greatly improved. However, the management of many
industries is still carried out by manual management, which requires a lot of manpower
in various positions to carry out a lot of repetitive work. , resulting in a lot of waste of
human and material resources and low work efficiency; at the same time, it brings
hidden dangers to the follow-up work. In addition, the existing movie recommendation
system has a poor user experience and imperfect system flow, resulting in a relatively
high utilization rate of the system. Low. The deployment and application of this
collaborative filtering algorithm-based movie recommendation system will help the
home page, personal center, user management, movie classification management, free
movie management, paid movie management, movie order management, my movie
management, movie forum, System management and other functions for management,
which can simplify management procedures, reduce labor costs, improve business
efficiency and work efficiency. In order to effectively promote the rational allocation
and use of personalized intelligent movie recommendation resources, adapt to the
management of modern personalized intelligent movie recommendation agencies It is
urgent to develop a more comprehensive movie recommendation system based on
collaborative filtering algorithm.
On the basis of fully studying the ssm framework, this topic adopts the B/S mode,
uses Java as the development language, MyEclipse as the development tool, and
MySQL as the data management platform. , Free Movie Management, Paid Movie
Management, Movie Order Management, My Movie Management, Movie Forum,
System Management and other functions.
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