Decision-Making of Phosphogypsum Treatment Based on Deepfm Recommendition System

The selection of a phosphogypsum yard treatment scheme has always been one of the key issues for phosphate fertilizer manufacturers in production and service work. The existing strategy is generally to organize expert scoring to complete the evaluation. However, the evaluation results are too subjective and often have significant uncertainty. Therefore, this paper takes intelligent recommendation systems as the core means to solve the uncertainty of the output results of existing methods. Thus, a treatment scheme recommendation system based on the DeepFM model is designed. For the scheme selection, we propose an expert scoring approach including scoring and confidence. Subsequently, a scheme recommendation strategy is proposed. In the application of real cases, it can be seen that the method proposed in this paper has obvious advantages in the recommendation of a phosphogypsum yard treatment scheme by comparing three common methods. That is, the scheme arrangement obtained through our method has a greater degree of differentiation, making it easier for decision-makers to select the best scheme.