Practitioners Versus Users: A Value-Sensitive Evaluation of Current
Industrial Recommender System Design

Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design

8 August 2022

Yong Li

Papers citing "Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design"

4 / 4 papers shown

Title
Hell is Paved with Good Intentions: The Intricate Relationship Between Cognitive Biases and Dark Patterns Thomas Mildner Albert Inkoom Rainer Malaka Jasmin Niess 35 3 0 12 May 2024
Finding a Way Through the Social Media Labyrinth: Guiding Design Through User Expectations Thomas Mildner Gian-Luca Savino Susanne Putze Rainer Malaka 30 2 0 12 May 2024
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 312 0 30 Oct 2017