26 citations · 76 across the 36 of their papers we have counts for
5 papers · 1 filter
Embedding Cultural Diversity in Prototype-based Recommender Systems
Armin Moradi, Nicola Neophytou, Florian Carichon +1
Popularity bias in recommender systems can increase cultural overrepresentation by favoring norms from dominant cultures and marginalizing underrepresented groups. This issue is cr…
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations
Armin Moradi, Nicola Neophytou, Golnoosh Farnadi
Popularity bias in music recommendation systems -- where artists and tracks with the highest listen counts are recommended more often -- can also propagate biases along demographic…
Tidying Up the Conversational Recommender Systems' Biases
Armin Moradi, Golnoosh Farnadi
The growing popularity of language models has sparked interest in conversational recommender systems (CRS) within both industry and research circles. However, concerns regarding bi…
Privacy-Preserving Fair Item Ranking
Jia Ao Sun, Sikha Pentyala, Martine De Cock +1
Users worldwide access massive amounts of curated data in the form of rankings on a daily basis. The societal impact of this ease of access has been studied and work has been done…
A Fairness-aware Hybrid Recommender System
Golnoosh Farnadi, Pigi Kouki, Spencer K. Thompson +2
Recommender systems are used in variety of domains affecting people's lives. This has raised concerns about possible biases and discrimination that such systems might exacerbate. T…