Publications

2020

¬ Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez, and Carlos Castillo. (2020) Exploring Artist Gender Bias in Music Recommendation. 2nd Workshop on the Impact of Recommender Systems (ImpactRS), co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020). Virtual, 22nd-26th September.

2019

¬ Lorenzo Porcaro, Emilia Gómez. (2019) 20 Years of Playlists: A Statistical Analysis on Popularity and Diversity. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). TU Delft, Delft, 4th-8th November (pdf).

¬ Lorenzo Porcaro, Carlos Castillo, Emilia Gómez. (2019). Music Recommendation Diversity: A Tentative Framework and Preliminary Results. 1st Workshop on Designing Human-Centric MIR Systems (wsHCMIR19), co-located with the 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). TU Delft, Delft, 4th-8th November (pdf).

¬ Lorenzo Porcaro, Emilia Gómez. (2019) A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions. 1st Workshop on the Impact of Recommender Systems (ImpactRS), co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019). Copenhagen, 16th-20th September (pdf)

¬ Lorenzo Porcaro, Horacio Saggion (2019). Recognizing Musical Entities in User-generated Content. International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2019, University of La Rochelle, La Rochelle, 7th-13th April (pdf)

2018

¬ Lorenzo Porcaro (2018). Information Extraction from User-generated Content in the Classical Music Domain. Master thesis, Pompeu Fabra University, Barcelona, Spain (pdf)

2015

¬ Lorenzo Porcaro (2015). Modeling Lemur vocalizations from a signal processing perspective. Master thesis, Pompeu Fabra University, Barcelona, Spain (pdf).