Proposal for the application of automatic learning algorithms to improve the user experience of the UNFV documentary processing system

Abstract

The present work entitled "Proposal for the Application of Automatic Learning Algorithms to improve the experience of users of the UNFV documentary processing system", has as its main objective to propose automatic learning algorithms to improve the user experience of the UNFV documentary processing system. UNFV, identifying learning models and algorithms. It is an investigation with a mixed approach, techniques such as interview, observation and survey were used, applied to two types of users who interact with the system, as well as a set of requests attended by the documentary processing process. The results obtained are from a documentary processing system with problems in interaction and the technological support that it requires, and is reflected in the levels of user satisfaction, which is regular at an average of 35% for external and internal users, as well as reached 88.42% in the prediction of user satisfaction through the proposed neural network model.