Modelo de recomendações de diretrizes de interface para aplicativos móveis usando aprendizado de máquina
Abstract
With the increasingly competitive mobile application market, where elevated standards and development costs prevail, it becomes imperative to explore novel approaches that offer cost-effectiveness, efficiency, superior quality, and democratization of application design. Machine Learning (ML) emerges as a promising possibility, offering an objective alternative to conventional solutions. Therefore, this paper aims to demonstrate the development process of a data-based ML model capable of receiving a description of an application (under creation or that its use should be improved), processing and returning recommendations to the user for developing the graphical interface of their application in the form of visually structured guidelines. The Design Science Research Methodology should guide model development and evaluation.
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