3 papers
cs.IR2026
Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations
David Liu, Erik Weis, Moritz Laber +2
Recommender systems have been shown to exhibit popularity bias by over-recommending popular items and under-recommending relevant niche items. We seek to understand niche users in…
cs.SI2025
Message passing for epidemiological interventions on networks with loops
Erik Weis, Laurent Hébert-Dufresne, Jean-Gabriel Young
Spreading models capture key dynamics on networks, such as cascading failures in economic systems, (mis)information diffusion, and pathogen transmission. Here, we focus on design i…
physics.soc-ph2025
Characterization Of Diseases In Temporal Comorbidity Networks
Yuri Gardinazzi, Roger Gonzaléz March, Suprabhath Kalahasti +7
Comorbidity networks, which capture disease-disease co-occurrence usually based on electronic health records, reveal structured patterns in how diseases cluster and progress across…