Improving the user experience on mobile apps through data mining
Tássio de Oliveira Silva Auad, Luiz Felipe Carvalho Mendes, Victor Ströele, José David · 2016
With the advance of mobile applications market, there is an increasing concern about the challenges when developing products that meet the many types of users and to harmonize each product with the various usage environments, thus, providing a good user experience. This situation leads to the need to develop a framework that makes applications become aware of the context and provides a self-learning of the user navigation. This article presents a theoretical framework and the TURAP operation process, a framework for Android applications that helps to tackle these challenges.