Abstract: A method for predicting matching degree between a resume and a post, and a related device are provided in this disclosure. In the method for predicting the matching degree between the resume and the post, and the related device according to this disclosure, firstly the semi-structured keys and values in post information and resume information and their source are obtained. Then, the matching degree between the resume information and the post information is predicted by a prediction model including a cascaded pre-trained language model, a Transformer encoder and a single label classification model, based on the keys and values of a respective post information and resume information attribute, and corresponding source representations. Thus, by comprehensively searching internal interaction and external interaction of semi-structured multivariate attributes in person-post matching, the matching result is more accurate.

Abstract: The present invention provides a method for constructing a halophilic nitrogen assimilation microbiome, and belongs to the technical fields of microorganisms as well as environmental governance and restoration. According to the present invention, a strain of Psychrobacter aquimaris A4N01 is screened from marine sediments; the strain can assimilate ammonia nitrogen to synthesize organic nitrogen, and simultaneously convert organic matters and phosphorus. A halophilic nitrogen assimilation microbiome developed by the strain has good nutrient conversion removal capacity and settling performance, has wide tolerance to salinity, and can be used in high-salinity wastewater treatment, saline-alkali soil fertilization, etc., so as to realize recycling of nutrient elements such as nitrogen and phosphorus in high-salinity environments. The method is simple in operation and low in costs and is environmentally friendly, therefore having good practical application value.