Optimization of news dissemination push mode by intelligent edge computing technology for deep learning.

ABSTRACT: The Internet era is an era of information explosion. By 2022, the global Internet users have reached more than 4 billion, and the social media users have exceeded 3 billion. People face a lot of news content every day, and it is almost impossible to get interesting information by browsing all the news content. Under this background, personalized news recommendation technology has been widely used, but it still needs to be further optimized and improved. In order to better push the news content of interest to different readers, users' satisfaction with major news websites should be further improved. This study proposes a new recommendation algorithm based on deep learning and reinforcement learning. Firstly, the RL algorithm is introduced based on deep learning. Deep learning is excellent i

SUBMITTER: DeGe J 

PROVIDER: S-EPMC11310452 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature