Samuele Lo Truglio
From Analysis to Application: Employing AI to Enhance User Experience at ESA.
Rel. Eliana Pastor, Mattia Stipa. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023
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Abstract
In the current era, Artificial Intelligence (AI) has gained remarkable traction, revolutionizing tasks such as translation, summarization, and text generation. This master's thesis delves into the application of AI technologies to enhance User Experience (UX) in European Space Agency (ESA) applications, specifically those managed by EOP-GES (Ground Segment). The thesis comprises two distinct projects and a demonstrator designed to showcase the practical implications of these projects in real-world scenarios. The first project, EO Recommender, uses Earth Online visitors' navigation history to predict the most likely pages they will visit. The activity includes collecting and curating an ad-hoc EO Clicks dataset capturing user activity on the website.
We then employ state-of-the-art recommendation systems such as Gru4Rec and SLiRec
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