Case-Based Reasoning for semi-automatic trade matching for electronic commerce broker

The manually online trade matching is becoming the bottleneck for electronic commerce brokers while the electronic commerce exhibits more popular than ever. In this paper, we propose a solution for semi-automatic online trade matching. The system architecture of the Case-Based Reasoning (CBR) paradigm is presented, followed by the detailed CBR engine with Genetic Algorithm (GA) supporting in feature weighting. The experiment followed reveals its performance.