WiMi Developed Optimized Video Personalized Recommendation System Based on Multi-modal Deep Learning Method
This recommendation system, uses deep learning and a holistic process model for multi-modal data. First, we collect datasets containing multi-modal information about users and videos. Then, we transform the parameters of users and videos into single-valued matrices containing non-zero singular values.
This recommendation system, uses deep learning and a holistic process model for multi-modal data. First, we collect datasets containing multi-modal information about users and videos. Then, we transform the parameters of users and videos into single-valued matrices containing non-zero singular values.
holistic process model, zero singular values, recommendation system, deep learning, multi-modal data, multi-modal information, single-valued matrices, datasets, users, videos, parameters
