Embracing Changes for Responsive Video-sharing Services

视频共享平台是公众的重要信息渠道。用户群的规模不断扩大和变化，Z世代现在是主要用户，导致这些平台的内容和用户发生了前所未有的普遍变化，这极大地挑战了所提供服务的响应能力和质量。该项目旨在设计创新的算法，以有效地预测和利用变化，优化变化的价值，并从变化中提取见解，用于视频共享平台的各种下游应用。预期成果将创造新一代的表征学习技术，并提供实用的工具，以扩大视频共享平台的社会经济价值。

Video-sharing platforms are a critical information channel for the public. Increasing scale and shifts in user base, with Generation Z now as the dominant user, have resulted in an unprecedented amount of ubiquitous changes in the content and users of these platforms which greatly challenges the responsiveness and quality of the services provided. This project aims to design innovative algorithms to effectively predict and leverage changes, optimise the value of changes, and extract insights from changes for diverse downstream applications of video-sharing platforms. The expected outcomes will create new-generation representation learning techniques, and provide practical tools to amplify the socioeconomic values of video-sharing platforms.