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08/22/2022
Towards Confidence-aware Calibrated Recommendation
Recommender systems utilize users' historical data to learn and predict ...
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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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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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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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03/13/2020
Exploring User Opinions of Fairness in Recommender Systems
Algorithmic fairness for artificial intelligence has become increasingly...
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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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05/14/2019
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems
Like other social systems, in collaborative filtering a small number of ...
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09/12/2018
