Lorenzo Porcaro

According to our database, Lorenzo Porcaro authored at least 33 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Modeling and Profiling to Auditing: the Evolving Role of the User in Recommender System Research.

Lorenzo Porcaro, Erasmo Purificato

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

Surfacing Problematic Recommender System Behaviors Affecting Music Discoverability: A Think-Aloud Protocol.

Lorenzo Porcaro, Valeria Mirabella, Emilia Gómez, Tiziana Catarci

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

How Persuasive Could LLMs Be? A First Study Combining Linguistic-Rhetorical Analysis and User Experiments.

Daniel Raffini, Agnese Macori, Lorenzo Porcaro, Tiziana Catarci, Marco Angelini

CoRR, August, 2025

Recommender systems, representativeness, and online music: A psychosocial analysis of Italian listeners.

Lorenzo Porcaro, Chiara Monaldi

CoRR, July, 2025

Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems.

Jacopo de Berardinis, Lorenzo Porcaro, Albert Meroño-Peñuela, Angelo Cangelosi, Tess Buckley

CoRR, March, 2025

Beyond a Western Center of Music Information Retrieval: A Bibliometric Analysis of the First 25 Years of ISMIR Authorship.

Juan Sebastián Gómez Cañón, Erick Siavichay, Doga Buse Cavdir, Blair Kaneshiro, Lorenzo Porcaro

Trans. Int. Soc. Music. Inf. Retr., 2025

Data Access for Recommender Systems Research: leveraging the EU's Digital Services Act.

João Vinagre, Lorenzo Porcaro, Silvia Merisio, Erasmo Purificato, Emilia Gómez

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

MuRS: 3rd Music Recommender Systems Workshop.

Andres Ferraro, Lorenzo Porcaro, Christine Bauer

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

HUMMUS: A Human-Centered Approach to Sequential Recommendation Explainability through Data Humanism.

Ibrahim Al Hazwani, Matthias Mylaeus, Daniela Mormocea, Jürgen Bernard, Lorenzo Porcaro

Proceedings of the 3rd Music Recommender Systems Workshop (MuRS 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025), 2025

How to investigate algorithmic-driven risks in online platforms and search engines? A narrative review through the lens of the EU Digital Services Act.

Cecilia Panigutti, Delia Fano Yela, Lorenzo Porcaro, Astrid Bertrand, Josep Soler Garrido

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study.

Lorenzo Porcaro, Emilia Gómez, Carlos Castillo

Trans. Recomm. Syst., March, 2024

Measuring and Fostering Diversity in Affective Computing Research.

Isabelle Hupont, Songül Tolan, Pedro Frau, Lorenzo Porcaro, Emilia Gómez

IEEE Trans. Affect. Comput., 2024

MuRS 2024: 2nd Music Recommender Systems Workshop.

Andres Ferraro, Lorenzo Porcaro, Peter Knees, Christine Bauer

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

End-user Algorithmic Auditing for Music Discoverability: A Research Roadmap.

Lorenzo Porcaro, Emilia Gómez, Tiziana Catarci

Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Audio-based Music Retrieval.

Emilia Gómez, Helena Cuesta, Aggelos Gkiokas, Juan Sebastián Gómez Cañón, Lorenzo Porcaro, Furkan Yesiler

Proceedings of the Information Retrieval: Advanced Topics and Techniques., 2024

2023

TROMPA-MER: an open dataset for personalized music emotion recognition.

Juan Sebastián Gómez Cañón, Nicolás Felipe Gutiérrez Páez, Lorenzo Porcaro, Alastair Porter, Estefanía Cano, Perfecto Herrera-Boyer, Aggelos Gkiokas, Patricia Santos, Davinia Hernández-Leo, Casper Karreman, Emilia Gómez

J. Intell. Inf. Syst., April, 2023

Assessing the impact of music recommendation diversity on listeners

Lorenzo Porcaro

PhD thesis, 2023

Behind Recommender Systems: the Geography of the ACM RecSys Community.

Lorenzo Porcaro, João Vinagre, Pedro Frau, Isabelle Hupont, Emilia Gómez

CoRR, 2023

Fairness and Diversity in Information Access Systems.

Lorenzo Porcaro, Carlos Castillo, Emilia Gómez, João Vinagre

Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023

2022

Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics.

Lorenzo Porcaro, Emilia Gómez, Carlos Castillo

Proc. ACM Hum. Comput. Interact., 2022

Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project.

Isabelle Hupont, Emilia Gómez, Songül Tolan, Lorenzo Porcaro, Ana Freire

CoRR, 2022

Fair ranking: a critical review, challenges, and future directions.

Gourab K. Patro, Lorenzo Porcaro, Laura Mitchell, Qiuyue Zhang, Meike Zehlike, Nikhil Garg

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Diversity in the Music Listening Experience: Insights from Focus Group Interviews.

Lorenzo Porcaro, Emilia Gómez, Carlos Castillo

Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021

Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics.

Lorenzo Porcaro, Emilia Gómez, Carlos Castillo

Dataset, January, 2021

Diversity by Design in Music Recommender Systems.

Lorenzo Porcaro, Carlos Castillo, Emilia Gómez

Trans. Int. Soc. Music. Inf. Retr., 2021

Emotion Annotation of Music: A Citizen Science Approach.

Nicolás Felipe Gutiérrez Páez, Juan Sebastián Gómez Cañón, Lorenzo Porcaro, Patricia Santos, Davinia Hernández-Leo, Emilia Gómez

Proceedings of the Collaboration Technologies and Social Computing, 2021

Measuring Diversity of Artificial Intelligence Conferences.

Ana Freire, Lorenzo Porcaro, Emilia Gómez

Proceedings of the Artificial Intelligence Diversity, Belonging, Equity, and Inclusion, 2021

How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research.

Isabelle Hupont, Songül Tolan, Ana Freire, Lorenzo Porcaro, Sara Estevez, Emilia Gómez

Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020

Balancing Exposure and Relevance in Academic Search.

Andres Ferraro, Lorenzo Porcaro, Xavier Serra

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Exploring Artist Gender Bias in Music Recommendation.

Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez, Carlos Castillo

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

Recognizing Musical Entities in User-generated Content.

Lorenzo Porcaro, Horacio Saggion

Computación y Sistemas, 2019

A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions.

Lorenzo Porcaro, Emilia Gómez

Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019

20 Years of Playlists: A Statistical Analysis on Popularity and Diversity.

Lorenzo Porcaro, Emilia Gómez

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019