30 citations · 83 across the 11 of their papers we have counts for
5 papers · 1 filter
Behind Recommender Systems: the Geography of the ACM RecSys Community
Lorenzo Porcaro, João Vinagre, Pedro Frau +2
The amount and dissemination rate of media content accessible online is nowadays overwhelming. Recommender Systems filter this information into manageable streams or feeds, adapted…
Fairness and Diversity in Information Access Systems
Lorenzo Porcaro, Carlos Castillo, Emilia Gómez +1
Among the seven key requirements to achieve trustworthy AI proposed by the High-Level Expert Group on Artificial Intelligence (AI-HLEG) established by the European Commission (EC),…
Fair ranking: a critical review, challenges, and future directions
Gourab K Patro, Lorenzo Porcaro, Laura Mitchell +3
Ranking, recommendation, and retrieval systems are widely used in online platforms and other societal systems, including e-commerce, media-streaming, admissions, gig platforms, and…
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics
Lorenzo Porcaro, Emilia Gómez, Carlos Castillo
Shared practices to assess the diversity of retrieval system results are still debated in the Information Retrieval community, partly because of the challenges of determining what…
Exploring Artist Gender Bias in Music Recommendation
Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez +1
Music Recommender Systems (mRS) are designed to give personalised and meaningful recommendations of items (i.e. songs, playlists or artists) to a user base, thereby reflecting and…