320 citations · 1.3k across the 27 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.IR2018★ 40 cited
Personalizing Fairness-aware Re-ranking
Weiwen Liu, Robin Burke
Personalized recommendation brings about novel challenges in ensuring fairness, especially in scenarios in which users are not the only stakeholders involved in the recommender sys…
cs.CY2018★ 6 cited
Synthetic Attribute Data for Evaluating Consumer-side Fairness
Robin Burke, Jackson Kontny, Nasim Sonboli
When evaluating recommender systems for their fairness, it may be necessary to make use of demographic attributes, which are personally sensitive and usually excluded from publicly…
cs.IR2018★ 17 cited
Popularity-Aware Item Weighting for Long-Tail Recommendation
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
Many recommender systems suffer from the popularity bias problem: popular items are being recommended frequently while less popular, niche products, are recommended rarely if not a…