E-commerce Service Equilibrium Prediction Simulation Based on Ontology

Abstract

In the process of e-commerce service users to accurately forecast demand, can expand electricity service scope, improve the quality of electricity services. In this paper, a process of e-commerce service based on ontology user demand equilibrium prediction method. First build electric company service equilibrium recommend user ontology, calculate the semantic similarity between ontology, have similar collections, on the basis of general prediction to target users near to the object as a group, the forecast probability calculation of high trust subgroup, balanced by the dynamic measurement uncertainty neighbor prediction, effectively completed the demand for electricity service user equilibrium predictions. Simulation experiments show that the proposed method can effectively improve electricity service users demand forecasting accuracy, strong use value.