Research on Multi-View News Recommendation Algorithm Model Integrating CNN and GCN

With the swift advancement of computer technology, deep learning is widely used in news recommendation and user interest mining. Aiming at the problems of inaccurate recommendation and inaccurate extraction of user interest representations in the currently adopted news recommendation methods, the research proposes a multi-view news recommendation algorithm model that integrates convolutional neural network and graph convolutional neural network. The performance comparison and analysis experiments of this model with other models show that the area under the curve value and accuracy rate of the raised model are 0.986 and 0.973, which are better than the comparison model. The above results show that the research proposed model helps to raise the accuracy of news recommendation and user interest representation extraction. It offers a foundational theory for the research field related to news recommendation technology.