Based On ALS Algorithm The Research And Application Of Personalized Recommendation System

The recommendation system is based on the user's behavior data,using various recommendation algorithms to closely associate users and information,modeling the user's interests,building a response to the user's behavior quickly.Items are recommended to users to help users find valuable information.Using the big data computing platform,cloud computing,recommended algorithms,powerful and easy-to-use programming language to change the traditional way of users and the network for data and information communication,to provide users with diversified and personalized service.The rapid development of big data technology and the continuous enrichment of programming languages have promoted the development of personalized recommendation systems.In the era of information overload,people urgently need a personalized recommendation system with strong real-time performance,high speed,and high accuracy.Therefore,it is very meaningful to develop personalized recommendation system based on ALS algorithm.The dissertation analyzes the origin,classification,advantages and disadvantages of the recommendation algorithm and the actual application status of the recommendation system.Based on the latest developments of the big data computing platform,the dissertation studies real-time personalization based on the ALS algorithm on the big data platform.designs the movie recommendation system.The main content includes the optimization algorithm based on the recommended algorithm ALS used in the real-time personalized movie recommendation system.In the system architecture of the big data platform is designed system,the real-time data flow is collected,transmitted,processed and stored,and the beautiful and elegant front interface is designed.The main functions of the real-time personalized movie recommendation system based on the ALS algorithm are user registration and login,movie watching,movie searching,movie rating,comment sending,browsing movie recommendation list,and so on.The personalized recommendation system based on the ALS algorithm passes the test of data in extreme conditions.The interface of the system is elegant and generous.The rich movie resources and high accuracy of the recommendation algorithm can give the user real-time recommendation movies.in the high-quality.