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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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03/11/2021
Toward the Next Generation of News Recommender Systems
This paper proposes a vision and research agenda for the next generation...
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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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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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08/19/2020
Popularity Bias in Recommendation: A Multi-stakeholder Perspective
Traditionally, especially in academic research in recommender systems, t...
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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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06/29/2020
Multi-sided Exposure Bias in Recommendation
Academic research in recommender systems has been greatly focusing on th...
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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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02/18/2020
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems
The proliferation of personalized recommendation technologies has raised...
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11/03/2019
The Relationship between the Consistency of Users' Ratings and Recommendation Calibration
Fairness in recommender systems has recently received attention from res...
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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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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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06/27/2019
Reducing Popularity Bias in Recommendation Over Time
Many recommendation algorithms suffer from popularity bias: a small numb...
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05/31/2019
Incorporating System-Level Objectives into Recommender Systems
One of the most essential parts of any recommender system is personaliza...
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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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12/07/2018
Towards Effective Exploration/Exploitation in Sequential Music Recommendation
Music streaming companies collectively serve billions of songs per day. ...
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02/15/2018