Recommender system for healthy and enjoyable activities based on location data
| Autor: | Capdevila Solanich, Albert |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya, Universiteit Gent, De Pessemier, Toon |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
Sistemes de recomanació basats en contingut
Aplicacions mòbils Content-based recommender systems Aplicació mòbil Physical activity Informàtica::Enginyeria del software [Àrees temàtiques de la UPC] Mobile apps Recommender systems (Information filtering) Recommender systems Mobile application Sistemes de recomanació Activitat física Sistemes recomanadors (Filtratge d'informació) |
| Popis: | Technological progress in recent years has led to the automation of many of the tasks we perform in our daily life. Massive use of digital devices nowadays means that a lot of information could be collected, for example about our habits and behaviours. All this data can be used to develop technological solutions, such as recommender systems, that analyse our behaviour and can predict future scenarios that make our lives easier. The goal of this project is to create a mobile recommender system on Android that tries to motivate users to do more physical activity by offering enjoyable POIs (Points Of Interest) such as parks, museums, tourist attractions... It should be noted that most recommender systems are only based on preferences, but in this project, the context of the user will also be used to make suggestions. In other words, the user's location will be obtained in real time in order to propose different points of interest in their surroundings that are close to their personal interests. |
| Databáze: | OpenAIRE |
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