Revisiting Popularity and Demographic Biases in Recommender Evaluation
and Effectiveness

Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness

15 October 2021

Nicola Neophytou

Catherine Stinson

Papers citing "Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness"

13 / 13 papers shown

Title
Fuck the Algorithm: Conceptual Issues in Algorithmic Bias Catherine Stinson FaML 12 0 0 16 May 2025
Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations Shahnewaz Karim Sakib Anindya Bijoy Das 36 2 0 17 Sep 2024
A Survey on Popularity Bias in Recommender Systems Anastasiia Klimashevskaia Dietmar Jannach Mehdi Elahi C. Trattner 29 34 0 02 Aug 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 30 13 0 18 Jan 2023
Personalized Reward Learning with Interaction-Grounded Learning (IGL) Jessica Maghakian Paul Mineiro Kishan Panaganti Mark Rucker Akanksha Saran Cheng Tan 26 8 0 28 Nov 2022
General Intelligence Requires Rethinking Exploration Minqi Jiang Tim Rocktaschel Edward Grefenstette LRM 31 18 0 15 Nov 2022
A Stakeholder-Centered View on Fairness in Music Recommender Systems Karlijn Dinnissen Christine Bauer 46 27 0 08 Sep 2022
Ethical and Social Considerations in Automatic Expert Identification and People Recommendation in Organizational Knowledge Management Systems Ida Larsen-Ledet Bhaskar Mitra Siân E. Lindley 18 1 0 08 Sep 2022
Matching Consumer Fairness Objectives & Strategies for RecSys Michael D. Ekstrand M. S. Pera FaML 32 3 0 06 Sep 2022
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems Hossein A. Rahmani Mohammadmehdi Naghiaei M. Dehghan Mohammad Aliannejadi FaML 41 35 0 17 May 2022
Joint Multisided Exposure Fairness for Recommendation Haolun Wu Bhaskar Mitra Chen Ma Fernando Diaz Xue Liu FaML 16 64 0 29 Apr 2022
Algorithms are not neutral: Bias in collaborative filtering Catherine Stinson FaML 9 28 0 03 May 2021
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 169 314 0 30 Oct 2017