Abstract: Aiming at the problems of poor rationality and low efficiency in the allocation of digital resources in university libraries, this paper proposes a method of library digital resources allocation based on cloud computing and deep belief network. Firstly, the cloud computing technology is used to construct the model of library digital resource allocation. Secondly, the deep belief network is used to train the characteristics of library digital resource nodes, and reasonable resource allocation is carried out. Finally, the experimental analysis and comparison of library digital resource allocation with other methods are carried out. The analysis results show that the proposed method can not only improve the quality and efficiency of library digital resource allocation, but also reduce the time of library digital resource allocation.

Key words: resource allocation, digital resources, cloud computing technology, deep belief network