计算机科学
主流
用户满意度
过程(计算)
纵向
计算机安全
人机交互
神学
艺术史
操作系统
哲学
艺术
标识
DOI:10.1016/j.techfore.2022.122103
摘要
With the development of society, social networks have been integrated into people's daily life and work, as well as in mainstream communication tools. However, the current socializing online platforms are imperfect, and users cannot fully protect their privacy. As a result, there are many undesirable privacy leak issues in the social process. This paper aims to promote the short video industry and enhance the security management effect of the short video network platform on user privacy. First, a user-portrait-based recommendation algorithm is comprehensively discussed. Second, the application model of the user portrait under the short video is expounded. Finally, relevant hypotheses are proposed using user portraits for the development and privacy management of platforms, which are verified through experiments. The results show that the four types of platforms have a satisfaction rate of >75 % for user-recommended videos. This research contributes to the development of these types of platforms and users' privacy and security management in the online world.
科研通智能强力驱动
Strongly Powered by AbleSci AI