12 citations · 36 across the 17 of their papers we have counts for
4 papers · 1 filter
Content-Agnostic Moderation for Stance-Neutral Recommendation
Nan Li, Bo Kang, Tijl De Bie
Personalized recommendation systems often drive users towards more extreme content, exacerbating opinion polarization. While (content-aware) moderation has been proposed to mitigat…
KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces
Alexander Rogiers, Maarten Buyl, Bo Kang +1
KamerRaad is an AI tool that leverages large language models to help citizens interactively engage with Belgian political information. The tool extracts and concisely summarizes ke…
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources
Nan Li, Bo Kang, Jefrey Lijffijt +1
In settings such as e-recruitment and online dating, recommendation involves distributing limited opportunities, calling for novel approaches to quantify and enforce fairness. We i…
ReCon: Reducing Congestion in Job Recommendation using Optimal Transport
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt +1
Recommender systems may suffer from congestion, meaning that there is an unequal distribution of the items in how often they are recommended. Some items may be recommended much mor…