Counterfactual Explanations for Visual Recommender Systems

Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers

AR Mohammadi, A Peintner, M Müller… - Proceedings of the 18th …, 2024 - dl.acm.org
Explainability in recommender systems is both crucial and challenging. Among the state-of-
the-art explanation strategies, counterfactual explanation provides intuitive and easily …
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CEERS: Counterfactual Evaluations of Explanations in Recommender Systems

M Baklanov - Proceedings of the 18th ACM Conference on …, 2024 - dl.acm.org
The increasing focus on explainability within ethical AI, mandated by frameworks such as
GDPR, highlights the critical need for robust explanation mechanisms in Recommender …
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Exploring Auxiliary Information Integration for Neural TV Program Recommendation

Y Wu, R Fu, T **ng, F Yin - 2024 3rd International Conference …, 2024 - ieeexplore.ieee.org
TV program recommendations enable users to discover programs of interest within the large
amount of information available. Most of the existing methods use userprogram interaction …
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