26 citations · 34 across the 8 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
stat.ML2019
Recommendation or Discrimination?: Quantifying Distribution Parity in Information Retrieval Systems
Rinat Khaziev, Bryce Casavant, Pearce Washabaugh +2
Information retrieval (IR) systems often leverage query data to suggest relevant items to users. This introduces the possibility of unfairness if the query (i.e., input) and the re…
cs.IR2019★ 2 cited
Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach
Jake Sherman, Chinmay Shukla, Rhonda Textor +2
Fashion is a unique domain for developing recommender systems (RS). Personalization is critical to fashion users. As a result, highly accurate recommendations are not sufficient un…