Posters / Presentations

2022

¬  Patro, G.K., Porcaro, L., Mitchell, L., Zhang, Q., Zehlike, M., Garg, N. (2022). Fair ranking: a critical review, challenges, and future directions. In FAccT ’22: ACM Conference on Fairness, Accountability, and Transparency, June 21–24, Seul, Korea (slides, video)

¬ Porcaro, L., Gomez, E., & Castillo, C. (2022). Diversity in the Music Listening Experience: Insights from Focus Group Interviews. In CHIIR ’22: ACM SIGIR Conference on Human Information Interaction and Retrieval, March 14–18, 2022, Regensburg, Bavaria. (poster, video)

2021

¬ Porcaro, L., Castillo, C., Gómez, E. (2021). Assessing the Impact of Music Recommendation Diversity. The advanced course on AI (ACAI2021) on Human Centered AI. European Association for Artificial Intelligence (EurAI), Berlin International University of Applied Sciences, Berlin, Germany. (poster)

2020

¬  Shakespeare, D., Porcaro, L., Gómez, E., and Castillo, C. . (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 (slides, video)

2019

¬ Porcaro, L., Gómez, E. (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 (slides, poster, video)

¬ Porcaro, L., Castillo, C., Gómez, E. (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. (slides)

¬ Porcaro, L., Gómez, E.. (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 (slides)

¬ Porcaro, L., Saggion, H. (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 (slides, poster)