Papers with explainable recommender models

1 papers
Enhancing Recommendation Explanations through User-Centric Refinement (2025.findings-emnlp)

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Challenge: Existing explanations for user reviews often fail to meet user-centric aspects, reducing their usefulness to users.
Approach: They propose a paradigm that refines initial explanations generated by existing models during the inference stage to enhance their quality in multiple aspects.
Outcome: The proposed model improves explanations generated by existing models during the inference stage to enhance their quality in multiple aspects.

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