Uso de Automated Machine Learning (Auto ML) em Sistemas de Recomendação.

Abstract

Recommendation Systems (RS) are responsible for filtering content and making recommendations based on users' preferences, these intelligent models are being used by several companies and in different areas. Due to the advancement of machine learning models, there is an increasing number of researches or tools that seek to automate the task performed by them, these tools are also known as AutoML. AutoML has been a tool to suggest the best model and the best hyperparameters for a dataset. Therefore, this work proposes to discuss and compare, among some AutoML tools, if they can be suitable for use in recommendation systems scenarios.