Design and implementation of big data platform based on data mining timing

Abstract

The traditional collaborative filtering algorithm is improved, and an improved collaborative filtering algorithm is proposed. Through comparative analysis, it is obtained that the new collaborative filtering algorithm has higher recommendation accuracy and a good speed-up ratio, and the larger the data set, the more its advantages are reflected, and it has good scalability. In addition, through supply and demand analysis, a big data platform based on data mining technology is established, and users can quickly complete the mining and analysis work for large data sets based on this platform.