The invention discloses a self-correction structured bid evaluation guide method for
public resource transaction, and relates to the field of resource
transaction processing, the method is based on a bid
evaluation system, and the method comprises a data preprocessing unit, a
structured analysis unit, a rule unit, an intelligent evaluation unit, a
workflow management unit, a
report generation unit and a data filing unit. Historical similar project scoring data is analyzed based on a large
language model through an intelligent review unit, a real-time scoring reference interval is generated, expert experience and data driving are combined, professional judgment is reserved, scoring randomness is reduced through data quantification, a
workflow management unit adopts an LSTM neural network to construct a review behavior prediction model, and the review behavior prediction model is used for predicting the review behavior. According to the method, the degree of deviation between expert scores and predicted values is compared in real time, meanwhile, multi-party review cases are integrated based on federal learning to form a dynamic
knowledge base, review after the event is changed into real-time monitoring and intelligent intervention, the objectivity of bid evaluation is enhanced, and subjective item scores tend to be standardized.