Research on academic paper recommendation algorithm based on knowledge mapping and deep learning
Purpose:This article aims at the shortcomings in current academic paper recommenda-tion,proposes a research idea that combines knowledge graphs with deep learning,and studies an academic paper recommendation algorithm.Methods:Collect literature and establish relevant knowledge graph.The user's behavioral preferences and retrieval requirements were analyzed.Method:Complete the recommendation of academic papers by constructing query vectors,meas-uring similarity,and generating resource recommendation tables.Conclusion:By comparing with the traditional algorithm,the algorithm proposed in this article can increase the user's search accuracy by 4.53％,and can significantly improve the user's search accuracy.
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