Do you have a Pop face? Here is a Pop song. Using profile pictures to mitigate the cold-start problem in Music Recommender Systems

Eugenio Tacchini, Ramon Morros, Veronica Vilaplana, Enrique Sañoso

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

When a new user registers to a recommender system service, the system does not know her taste and cannot propose meaningful suggestions (cold-start problem). This preliminary work attempts to mitigate the cold-start problem using the profile picture of the user as a sole information, following the intuition that a correspondence may exist between the pictures that people use to represent themselves and their taste. We proved that, at least in the small music community we used for our experiments, our method can improve the precision of both a classifier and a Top-N music recommender system in a cold-start condition.
Lingua originaleEnglish
Titolo della pubblicazione ospitePoster Proceedings of ACM RecSys 2015
Pagine1-2
Numero di pagine2
Stato di pubblicazionePubblicato - 2015
EventoACM International Conference on Recommender System, 2015. - Vienna, Austria
Durata: 16 set 201520 set 2015

Convegno

ConvegnoACM International Conference on Recommender System, 2015.
CittàVienna, Austria
Periodo16/9/1520/9/15

Keywords

  • Recommender systems, Top-N recommendations, cold-start, pictures

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