Key Concepts in the ChoiceMaker 2 Record Matching System

Abstract

We describe an innovative record matching system called ChoiceMaker 2 we developed at ChoiceMaker Technologies (CMT). Firstly, we describe the process by which we use a machine learning technique known as maximum entropy modeling to tune the system to the problem at hand. Secondly, we describe the ClueMaker ™ programming language that is used to describe record matching characteristics. Thirdly, we describe our method for testing record matching systems and describe how our IDE facilitates this process.