Research on Digital Media Recommendation Based on Cluster Algorithm

Abstract

In the innovation and development of network information technology, digital media has been widely promoted, among which the recommendation method of digital media has a positive impact on information transmission and industry development, high-quality digital media recommendation algorithm can not only improve the transmission speed of digital media industry, but also can guarantee the application quality of information transmission. Therefore, under the development trend of economic globalization, in the face of the mass digital media information transmission trend, in order to provide effective recommendation according to the personal needs of users and continuously optimize the service quality of digital media, researchers from various countries have proposed a digital media recommendation method with clustering algorithm as the core. In this paper, based on the understanding of the current digital media recommendation methods and application status quo, according to the theoretical characteristics of clustering algorithm, the in-depth study of clustering algorithm as the core of digital media recommendation methods. The final empirical results show that clustering algorithm has positive advantages in the development of digital media industry and can provide recommendation services according to the personalized needs of users.