176 citations · 605 across the 32 of their papers we have counts for
4 papers · 1 filter
What News Recommendation Research Did (But Mostly Didn't) Teach Us About Building A News Recommender
Karl Higley, Robin Burke, Michael D. Ekstrand +1
One of the goals of recommender systems research is to provide insights and methods that can be used by practitioners to build real-world systems that deliver high-quality recommen…
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…
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation
Samira Vaez Barenji, Sushobhan Parajuli, Michael D. Ekstrand
Data is an essential resource for studying recommender systems. While there has been significant work on improving and evaluating state-of-the-art models and measuring various prop…