With the development of the Internet and social networking service, the micro-video is becoming more popular,
especially for youngers. However, for many users, they spend a lot of time to get their favourite micro-videos from amounts
videos on the Internet; for the micro-video producers, they do not know what kinds of viewers like their products. Therefore, we
propose a micro-video recommendation system.