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09/10/2023
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
Fairness problems in recommender systems often have a complexity in prac...
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03/02/2023
Dynamic fairness-aware recommendation through multi-agent social choice
Algorithmic fairness in the context of personalized recommendation prese...
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09/08/2022
Who Pays? Personalization, Bossiness and the Cost of Fairness
Fairness-aware recommender systems that have a provider-side fairness co...
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09/05/2022
Recommender Systems and Algorithmic Hate
Despite increasing reliance on personalization in digital platforms, man...
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08/07/2021
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation
Exposure bias is a well-known issue in recommender systems where items a...
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07/07/2021
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems
Fairness is a critical system-level objective in recommender systems tha...
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05/12/2021
Fairness and Discrimination in Information Access Systems
Recommendation, information retrieval, and other information access syst...
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03/16/2021
Fairness and Transparency in Recommendation: The Users' Perspective
Though recommender systems are defined by personalization, recent work h...
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03/10/2021
User-centered Evaluation of Popularity Bias in Recommender Systems
Recommendation and ranking systems are known to suffer from popularity b...
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02/22/2021
User Factor Adaptation for User Embedding via Multitask Learning
Language varies across users and their interested fields in social media...
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09/05/2020
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation
As recommender systems are being designed and deployed for an increasing...
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08/21/2020
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation
Recently there has been a growing interest in fairness-aware recommender...
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07/25/2020
Feedback Loop and Bias Amplification in Recommender Systems
Recommendation algorithms are known to suffer from popularity bias; a fe...
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07/23/2020
Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration
Popularity bias is a well-known phenomenon in recommender systems: popul...
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05/21/2020
Opportunistic Multi-aspect Fairness through Personalized Re-ranking
As recommender systems have become more widespread and moved into areas ...
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05/03/2020
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems
Recommender systems are often biased toward popular items. In other word...
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03/25/2020
Unfair Exposure of Artists in Music Recommendation
Fairness in machine learning has been studied by many researchers. In pa...
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03/13/2020
Exploring User Opinions of Fairness in Recommender Systems
Algorithmic fairness for artificial intelligence has become increasingly...
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10/13/2019
The Impact of Popularity Bias on Fairness and Calibration in Recommendation
Recently there has been a growing interest in fairness-aware recommender...
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09/19/2019
Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Recommender systems have become an essential tool to help resolve the in...
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09/13/2019
Crank up the volume: preference bias amplification in collaborative recommendation
Recommender systems are personalized: we expect the results given to a p...
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08/02/2019
Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison
Research on fairness in machine learning has been recently extended to r...
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07/31/2019
The Unfairness of Popularity Bias in Recommendation
Recommender systems are known to suffer from the popularity bias problem...
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07/30/2019
Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness
There is growing research interest in recommendation as a multi-stakehol...
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07/10/2019
Flatter is better: Percentile Transformations for Recommender Systems
It is well known that explicit user ratings in recommender systems are b...
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06/27/2019
Reducing Popularity Bias in Recommendation Over Time
Many recommendation algorithms suffer from popularity bias: a small numb...
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05/01/2019
Beyond Personalization: Research Directions in Multistakeholder Recommendation
Recommender systems are personalized information access applications; th...
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01/22/2019
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking
Many recommender systems suffer from popularity bias: popular items are ...
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09/12/2018
Synthetic Attribute Data for Evaluating Consumer-side Fairness
When evaluating recommender systems for their fairness, it may be necess...
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09/09/2018
Personalizing Fairness-aware Re-ranking
Personalized recommendation brings about novel challenges in ensuring fa...
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02/15/2018
