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08/23/2023
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems
In recommendation literature, explainability and fairness are becoming t...
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07/02/2023
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations
Multi-objective recommender systems (MORS) provide suggestions to users ...
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04/12/2023
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning
In recent years, personalization research has been delving into issues o...
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01/14/2023
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation
Path reasoning is a notable recommendation approach that models high-ord...
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09/11/2022
Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality
Numerous Knowledge Graphs (KGs) are being created to make recommender sy...
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04/24/2022
Regulating Group Exposure for Item Providers in Recommendation
Engaging all content providers, including newcomers or minority demograp...
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04/24/2022
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
Existing explainable recommender systems have mainly modeled relationshi...
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03/30/2022
Robust Reputation Independence in Ranking Systems for Multiple Sensitive Attributes
Ranking systems have an unprecedented influence on how and what informat...
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01/21/2022
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations
Enabling non-discrimination for end-users of recommender systems by intr...
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04/12/2021
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing
Mobility and transport, by their nature, involve crowds and require the ...
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06/07/2020
Equality of Learning Opportunity in Personalized Recommendations
Online educational platforms are promising to play a primary role in med...
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06/07/2020
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems
Considering the impact of recommendations on item providers is one of th...
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06/07/2020
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation
Recommender systems learn from historical data that is often non-uniform...
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05/25/2020
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities
Recent literature on ranking systems (RS) has considered users' exposure...
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05/14/2020
ECIR 2020 Workshops: Assessing the Impact of Going Online
ECIR 2020 https://ecir2020.org/ was one of the many conferences affected...
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04/13/2020