Retrieval Method of Poor Students Subsidy Resource Database Based on Improved Grey Correlation Degree

In the current retrieval methods, the Hamming distance measure is used to calculate the relevance of information resources, which leads to the lower average accuracy of retrieval text. Determine the number and density of key words of information resources in the resource database, adopt the technology of key word density to calculate the semantic score of information resources in the resource database, and assess the semantics of information resources; from the sequence of information resources in the resource database, design and improve the steps for calculating the relevance of information resources in the resource database based on grey relational degree, and determine the relevance of information resources in the resource database; adopt the DCMH method, set up the retrieval model, extract the characteristics of information resources in the resource database, design the retrieval objective function, and retrieve the information resources in the resource database of subsidies for poor students. The experimental results show that the average accuracy of retrieving the text information of the three sets of datasets is higher than that of the two comparison methods chosen in this experiment in the three dimensions of 16, 24 and 32, and 0.09, 0.12, 0.055, 0.065, 0.025 and 0.04 when the recall rate is 0.2%. Obviously, the retrieval method of this research has the strong retrieval performance.