Video intelligent recommendation method and device based on random matrix coding and simplified convolutional network, and storage medium

The invention relates to a video recommendation method, in particular to an intelligent video recommendation method and device based on random matrix coding and a simplified convolutional network and a storage medium, and belongs to the technical field of network information processing. The method specifically comprises the following steps: firstly, preprocessing a data set; secondly, generating a random matrix code for the user characteristics through a random vector; transmitting the data coding matrix to a first full connection layer to obtain a user feature vector; transmitting the video features to a simplified convolutional network to generate a simplified text convolutional network code, and generating a video feature matrix; transmitting the video feature matrix to a second full connection layer to obtain a movie feature vector; calculating a prediction score through the user feature vector and the film feature vector, and carrying out fitting training on the prediction score and a real score; and fin