Power retail platform and reputation-aware ticket service recommendation system and method

Abstract

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.

Images