In order to provide an efficient and reliable way to address recruitment challenges in talent resource management and improve the efficiency and quality of the entire recruitment process, a big data-based intelligent recommendation method for talent resources is proposed. Firstly, using the principles of big data mining, construct an adjacency matrix to complete the mining of talent resource data. Secondly, based on the excavated talent resource data, describe the characteristics of the talent resource data and calculate the similarity of talent resource scores and labels. Finally, based on the predicted results of talent resource ratings, complete the recommendation of talent resources. The test results show that the method proposed in this paper can reduce the root mean square error between the actual and predicted scores of talent resources, and improve the accuracy of talent resource recommendation.