A course recommendation method based on bidirectional fusion of graph convolution using knowledge graphs
Knowledge graph–based recommendation systems, such as KGCN, have been widely adopted to alleviate data sparsity and cold-start issues by incorporating auxiliary semantic information. However, most existing methods model either the user side or the item side independently, failing to fully exploit the complementary in...