61 citations · 114 across the 23 of their papers we have counts for
4 papers · 1 filter
We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Later
Alan Said, Maria Soledad Pera, Michael D. Ekstrand
In 2011, Xavier Amatriain sounded the alarm: recommender systems research was "doing it all wrong" [1]. His critique, rooted in statistical misinterpretation and methodological sho…
Recommending With, Not For: Co-Designing Recommender Systems for Social Good
Michael D. Ekstrand, Afsaneh Razi, Aleksandra Sarcevic +3
Recommender systems are usually designed by engineers, researchers, designers, and other members of development teams. These systems are then evaluated based on goals set by the af…
Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study
Robin Ungruh, Alejandro Bellogín, Dominik Kowald +1
Children are often exposed to items curated by recommendation algorithms. Yet, research seldom considers children as a user group, and when it does, it is anchored on datasets wher…
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
Robin Burke, Gediminas Adomavicius, Toine Bogers +7
Multistakeholder recommender systems are those that account for the impacts and preferences of multiple groups of individuals, not just the end users receiving recommendations. Due…