30 citations · 83 across the 11 of their papers we have counts for
11 papers
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),…
Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
Lorenzo Porcaro, Emilia Gómez, Carlos Castillo
We present the results of a 12-week longitudinal user study wherein the participants, 110 subjects from Southern Europe, received on a daily basis Electronic Music (EM) diversified…
Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project
Isabelle Hupont, Emilia Gomez, Songul Tolan +2
DivinAI is an open and collaborative initiative promoted by the European Commission's Joint Research Centre to measure and monitor diversity indicators related to AI conferences, w…
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…
Diversity in the Music Listening Experience: Insights from Focus Group Interviews
Lorenzo Porcaro, Emilia Gómez, Carlos Castillo
Music listening in today's digital spaces is highly characterized by the availability of huge music catalogues, accessible by people all over the world. In this scenario, recommend…
How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research
Isabelle Hupont, Songül Tolan, Ana Freire +3
ACII is the premier international forum for presenting the latest research on affective computing. In this work, we monitor, quantify and reflect on the diversity in ACII conferenc…
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…
Measuring Diversity of Artificial Intelligence Conferences
Ana Freire, Lorenzo Porcaro, Emilia Gómez
The lack of diversity of the Artificial Intelligence (AI) field is nowadays a concern, and several initiatives such as funding schemes and mentoring programs have been designed to…
Recognizing Musical Entities in User-generated Content
Lorenzo Porcaro, Horacio Saggion
Recognizing Musical Entities is important for Music Information Retrieval (MIR) since it can improve the performance of several tasks such as music recommendation, genre classifica…