Cloud computing data recommendation method based on service combination hypergraph convolutional network

The invention discloses a cloud computing data recommendation method based on a service combination hypergraph convolutional network, and the method comprises the steps: mining a potential service combination relationship in cloud computing data, and constructing a sequence combination set; a service combination hypergraph is constructed based on the sequence combination set, and effective modeling of combination features of the API service is achieved; according to the idea of Chebyshev approximate convolution, designing a hypergraph convolution network to extract hypergraph signals on the service combination hypergraph; then, carrying out dimension reduction processing on the hypergraph signal by using an Hg-Pool pooling method; performing semantic coding on the API service by utilizing a pre-training language model to obtain a semantic embedding vector, and fusing the semantic embedding vector and the hypergraph signal to obtain a combined embedding vector; and finally, calculating the recommendation proba