2 papers
cs.IR2021
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness
Nicola Neophytou, Bhaskar Mitra, Catherine Stinson
Recommendation algorithms are susceptible to popularity bias: a tendency to recommend popular items even when they fail to meet user needs. A related issue is that the recommendati…
cs.CY2021
Algorithms are not neutral: Bias in collaborative filtering
Catherine Stinson
Discussions of algorithmic bias tend to focus on examples where either the data or the people building the algorithms are biased. This gives the impression that clean data and good…