Revisão de técnicas de Aprendizado de Máquina no contexto de Correspondência de Produtos

Abstract

This paper conducts a systematic literature review, with the intention of identifying the most effective machine learning techniques for the product matching problem. It begins by establishing a conceptual groundwork for the discussion of the different approaches, presenting an comprehensive overview of the field. Subsequently, it outlines the review methodology and selection protocols. Finally, a critical evaluation of the methods and results found in these studies is conducted, synthesizing their findings.