136 citations · 189 across the 5 of their papers we have counts for
5 papers
The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds
Andrea Atzori, Gianni Fenu, Mirko Marras
Face biometrics are playing a key role in making modern smart city applications more secure and usable. Commonly, the recognition threshold of a face recognition system is adjusted…
Regulating Group Exposure for Item Providers in Recommendation
Mirko Marras, Ludovico Boratto, Guilherme Ramos +1
Engaging all content providers, including newcomers or minority demographic groups, is crucial for online platforms to keep growing and working. Hence, while building recommendatio…
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu +1
Existing explainable recommender systems have mainly modeled relationships between recommended and already experienced products, and shaped explanation types accordingly (e.g., mov…
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation
Ludovico Boratto, Gianni Fenu, Mirko Marras
Recommender systems learn from historical users' feedback that is often non-uniformly distributed across items. As a consequence, these systems may end up suggesting popular items…
ECIR 2020 Workshops: Assessing the Impact of Going Online
Sérgio Nunes, Suzanne Little, Sumit Bhatia +11
ECIR 2020 https://ecir2020.org/ was one of the many conferences affected by the COVID-19 pandemic. The Conference Chairs decided to keep the initially planned dates (April 14-17, 2…