Design And Implementation Of Mini Program In Movie Recommendation System

With the development of information technology and mobile Internet technology,the amount of information about data has exploded.The society has gradually entered the era of “big data” of information overloads with the era of information scarcity.The rapid increase in data volume leads to excessive data redundancy.A recommendation system is needed to filter the information the user needs.Based on this,this paper builds a movie recommendation system on the Mini Program platform to solve the information overloads problem of the movie to a certain extent.The recommendation algorithm adopted in the recommendation system built in this thesis is an item-based collaborative filtering algorithm improved by sentiment analysis.Based on the item-based collaborative filtering algorithm,based on the user's score on the movie,the emotional value of the movie commentary is based on The sex classification value is also used as a parameter for calculating the recommended value of the movie,and the user is recommended by considering the user's rating and emotion on the movie.Among them,the emotional polarity classification process includes Chinese word segmentation(word segmentation for movie reviews),stop words(removing useless words in text),feature extraction(converting text into vectors),constructing CNN classification models(getting movie reviews)Emotional value).The development of the recommended system uses a classic B/S architecture consisting of a client and a server.The server uses the Nginx server,which is responsible for the calculation of recommended content,the processing of system data,and the information exchange between various modules of the system.The client uses the WeChat applet to be responsible for the external display of the system information and the interaction between the user and the system..The coordination between the client and the server constitutes the main operational framework of the system.The client uses JavaScript,WXML,WXSS and other languages development;the server side uses Python language development;MySQL is used as the system database.Part of the interface is reserved for system development to meet the subsequent development of the system.