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Ontology Development for User Information in Nutrition Apps

Gavrila, Raluca-Maria (2025) Ontology Development for User Information in Nutrition Apps.

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Abstract:This research investigates how diet and nutrition applications collect user information and use it to generate personalized diet plans. The study focuses on identifying personalization mechanisms in apps in the nutrition domain, analyzing the types of personal data stored, such as age, goals, preferences, and daily-intake, and proposes a conceptual ontology to represent the data in a structured way. Thirteen nutrition apps have been used to extract and categorize user data. Findings show that the data most asked is related to current weight, target weight, age, gender, and dietary goals. Based on these findings, an ontology was developed to formally represent user information, focusing on aspects of behavioural change.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/107392
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