Pubblicazioni di Porcaro Lorenzo
2024
Porcaro Lorenzo, G('(o))mez Emilia, Castillo Carlos
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study. ACM TRANSACTIONS ON RECOMMENDER SYSTEMS 2024: -
Porcaro L., Gomez E., Catarci T.
End-user Algorithmic Auditing for Music Discoverability: A Research Roadmap. MuRS 2024 MuRS: 2nd Music Recommender Systems Workshop 2024 2024: -6
Hupont Isabelle, Tolan Songül, Frau Pedro, Porcaro Lorenzo, Gómez Emilia
Measuring and Fostering Diversity in Affective Computing Research. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING 2024: 63-78
Ferraro Andres, Porcaro Lorenzo, Knees Peter, Bauer Christine
MuRS 2024: 2nd Music Recommender Systems Workshop. RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems 2024: 1202-1205
Sala Arianna, Porcaro Lorenzo, Gómez Emilia
Social Media Use and adolescents' mental health and well-being: An umbrella review. COMPUTERS IN HUMAN BEHAVIOR REPORTS 2024: -
2023
Gomez-Canon J. S., Gutierrez-Paez N., Porcaro L., Porter A., Cano E., Herrera-Boyer P., Gkiokas A., Santos P., Hernandez-Leo D., Karreman C., Gomez E.
TROMPA-MER: an open dataset for personalized music emotion recognition. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS 2023: 549-570
2022
Porcaro L., Gomez E., Castillo C.
Diversity in the music listening experience: Insights from focus group interviews. CHIIR 2022 - Proceedings of the 2022 Conference on Human Information Interaction and Retrieval 2022: 272-276
Patro G. K., Porcaro L., Mitchell L., Zhang Q., Zehlike M., Garg N.
Fair ranking: a critical review, challenges, and future directions. FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency 2022: 1929-1942
Porcaro L., Gomez E., Castillo C.
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics. PROCEEDINGS OF THE ACM ON HUMAN-COMPUTER INTERACTION 2022: 1-26
2021
Porcaro L., Castillo C., Gomez E.
Diversity by Design in Music Recommender Systems. TRANSACTIONS OF THE INTERNATIONAL SOCIETY FOR MUSIC INFORMATION RETRIEVAL 2021: 114-126
Gutierrez Paez N. F., Gomez-Canon J. S., Porcaro L., Santos P., Hernandez-Leo D., Gomez E.
Emotion Annotation of Music: A Citizen Science Approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021: 51-66
Hupont I., Tolan S., Freire A., Porcaro L., Estevez S., Gomez E.
How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research. 2021 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021 2021: -
2020
Shakespeare D., Porcaro L., Gomez E., Castillo C.
Exploring artist gender bias in music recommendation. Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM. Conference on Recommender Systems (RecSys 2020) 2020: -
2019
Porcaro L., Gomez E.
20 years of playlists: A statistical analysis on popularity and diversity. Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019 2019: 130-136
Porcaro L., Gomez E.
A model for evaluating popularity and semantic information variations in radio listening sessions. ImpactRS 2019. Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019) 2019: -
Porcaro L., Saggion H.
Recognizing Musical Entities in User-generated Content. COMPUTACIÓN Y SISTEMAS 2019: 1079-1088