Music Recommendation System Based on Ratings Obtained from Amazon
- Sergio Marcos Vazquez 1
- Carlos Fernández Lozano 1
- Adrian Carballal 1
- Francisco Cedron 1
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1
Universidade da Coruña
info
- Manuel Lagos Rodríguez (ed. lit.)
- Álvaro Leitao Rodríguez (ed. lit.)
- Tirso Varela Rodeiro (ed. lit.)
- Javier Pereira Loureiro (coord.)
- Manuel Francisco González Penedo (coord.)
Editorial: Servizo de Publicacións ; Universidade da Coruña
Ano de publicación: 2023
Congreso: XoveTIC (6. 2023. A Coruña)
Tipo: Achega congreso
Resumo
In the current context of an era in which a significant portion of people are constantly living online, with various multimedia streaming platforms serving as major sources of entertainment, and with e-commerce playing also a key role, recommender systems are carving out their place as one of the most important and widely used tools for enhancing user experiences on these platforms. This work undertakes a comparative study on some of the techniques used within these systems, mainly focused on those based in collaborative filtering. Multiple recommender systems will be implemented according to each of these methods, taking for this purpose the vinyl records and CDs Amazon’s user ratings