# name
EatingBarna: recomanador de restaurants a la ciutat de Barcelona

# metadata.dc.description[].value
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2023, Director: Petia Radeva

# metadata.dc.description.abstract[].value
[en] Recommendation systems are present in many of the mobile applications we use on a daily basis. Companies like Amazon, Netflix or Spotify use these algorithms to improve the user experience in their products. This is a benefit but when there is an excess of content the recommendation system can be useless.
We will focus on transforming a website about restaurants in Barcelona into a mobile application that recommends restaurants adapted to the user’s profile, combining a first human filter and a recommendation system to mitigate content overdose.

# metadata.dc.rights[].value
memòria: cc-nc-nd (c) Joan Martín Martrus, 2023

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

# metadata.dc.title[].value
EatingBarna: recomanador de restaurants a la ciutat de Barcelona