Abstract
AbstractIn recent years, deep algorithms and big data and other technical means have risen rapidly, and the application of artificial intelligence has become the future development trend of various industries. In the news industry, AI is involved in all aspects of news gathering, content production, distribution and consumer consumption. This paper mainly studies the cutting-edge application and development trend of artificial intelligence in the field of new media in the era of AI. In this paper, the news media industry takes advantage of the application advantage of artificial intelligence and puts forward a news recommendation algorithm based on neural network. In this paper, the collaborative filtering method is used to recommend news by using cyclic neural network (RNN). However, in the face of the problem that the RNN network structure is repeated and difficult to recommend in parallel in collaborative filtering, this paper applies Slices Neural Network (SRNN) to the collaborative filtering recommendation system to improve the training and operating efficiency of the system.KeywordsArtificial intelligenceNew mediaNews recommendationSlice recursive neural network
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