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A Hybrid Approach for Item Collection Recommendations: An Application to Automatic Playlist Continuation

Autor
Gatzioura, A.
Tipus d'activitat
Tesi doctoral
Data de la defensa
2018-11-23
URL
http://hdl.handle.net/2117/125310 Obrir en finestra nova
Resum
Current recommender systems aim mainly to generate accurate item recommendations, without properly evaluating the multiple dimensions of the recommendation problem. However, in many domains, like in music, where items are rarely consumed in isolation, users would rather need a set of items, designed to work well together, while having some cognitive properties as a whole, related to their perception of quality and satisfaction. In this thesis, a hybrid case-based recommendation approach for item...
Grup de recerca
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic
Citació
Gkatzioura, A. "A hybrid approach for item collection recommendations : an application to automatic playlist continuation". Tesi doctoral, UPC, Departament de Llenguatges i Sistemes Informàtics, 2018.

Participants

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