A Bidirectional Material Diffusion Algorithm Based on Fusion Hypergraph Random Walks for Video Recommendation

With the rapid popularization of video software, video recommendation algorithms have become crucial for ensuring the quality of video platforms. This study focuses on video tags and constructs a ternary structure of user–video–tags. It proposes a bidirectional material diffusion algorithm based on fusion hypergraph random walks for video recommendation. The effectiveness of the proposed algorithm is validated by comparing it with existing algorithms on public datasets.