Desarrollo de un sistema de recomendación para identificar información relevante en vigilancia estratégica

Abstract

To be attentive to external events that may affect decisions at a strategic level, organizations use methods based on Strategic Vigilance to analyze and make decisions based on external information available in news articles. However, the existence of large quantities of items makes the Strategic Vigilance process inefficient and even tedious for the personnel in charge. In this sense, in this project a recommendation system is proposed in order, based on the similarity of documents, to be able to provide articles of interest to help in the process and be integrated with other solutions to face the problem described. This system has been developed considering technologies and software development processes recommended for this type of computer system. This system has been evaluated in an offline environment, to prevent inconsistencies in the code and components, and online with a group of people considering technology acceptability evaluation models: perceived utility and ease of use. Regarding this evaluation, it should be noted that 75% of the people considered that the system offers ease of use and 100% affirmed that the system fulfills its purpose.