Research on Short Video Recommendation Algorithm Based on Social Network

According to the rapid development of the technological age and the rapid advancement of databases, it will be very difficult to find out the information they need in the social application and also consume a lot of time. Therefore, humancreated Recommendation System. Large and small video firms, such as Douyin, Instagram, and Facebook, employ the recommendation system to allow everyone to browse their favorite material. However, as time passes and more people's needs change, large data makes it harder to convey really useful information to users, and major issues such as information overload have arisen regularly. There are currently only two solutions. The first is search engines, which are a highly prevalent information retrieval method, and the second is recommendation systems, which are the most effective information filtering technology. In the background of short video software, the Collaborative Filtering Algorithm is the most used recommendation system.