Digital Media VR Design Recommendation Analysis Relying on LDA Model

Abstract

Abstract With the gradual use of VR technology on a global scale, it has gradually begun to be used in data multimedia teaching, involving more areas. This technology is conducive to improving teaching quality and teaching efficiency. In order to further improve the recommendation effect of digital digital media, this paper uses the design in the LDA model for digital multimedia synthesis and scheduling and decision-making. According to the data information of the feature mapping, combined with the LED model used, the user characteristic behavior of the digital media recommendation is carried out for data. Cluster analysis is used to obtain comprehensive data information of digital media user behavior, and digital media recommendation optimization is performed according to the obtained entropy weight.