This invention relates to the field of
electricity retail trading technology, and more particularly to a work order service recommendation
system and method for
electricity retail platforms and reputation
perception. Based on
blockchain technology, this invention utilizes the immutability and full lifecycle auditing capabilities of distributed ledgers to ensure the authenticity and integrity of user data and key
event data of work orders, avoiding security risks such as
score fraud and work order
record tampering. It employs a fusion model of local and global reputation values, combining prediction accuracy and historical behavior quality for comprehensive scoring. K-Means clustering and
Euclidean distance calculation are used to dynamically evaluate the contribution of data providers, effectively improving the accuracy and fairness of recommendation results. The introduction of the Gompertz function enables nonlinear reputation updates, making the reputation
system more discriminative and convergent. This invention solves the technical problems of existing
electricity retail trading service recommendation systems, such as lack of trust mechanisms, insufficient
privacy protection, lack of incentive mechanisms, and low efficiency of
consensus mechanisms.