| dc.description.abstract | In this paper was developed a computational model of Adaptive Hypermedia for generation of interface layouts of applications. The research began with a review of Adaptive Hypermedia, with an overview of the concepts and characteristics of the methods and adaptation techniques in order to base its development. After, we evaluated the use of metaheuristic Genetic Algorithm, Tabu Search, and Memetic Algorithm as support tools in the development of the model. Following, the Stochastic Automata Networks guided the modeling of the formalism used for knowledge retention. These bases, the proof of concept were developed. Therefore, we present the experiments to validate. The obtained results by the model were of good quality, meeting the research objectives. As results of this work, we obtained a system capable to generate layouts, considering the characteristics of the users and their devices, being able to follow a trend of content consumption not only marketing, but also social. | |
