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Explainable Recommendation

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Showing 51–75 of 94 papers

TitleStatusHype
Visualization for Recommendation Explainability: A Survey and New Perspectives—0
Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System—0
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation—0
Question-Attentive Review-Level Recommendation ExplanationCode0
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation—0
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in RecommendationCode0
Factual and Informative Review Generation for Explainable Recommendation—0
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems—0
Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender SystemsCode0
A Survey on Trustworthy Recommender Systems—0
Learning to Rank Rationales for Explainable RecommendationCode0
Improving Personalized Explanation Generation through Visualization—0
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks—0
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation—0
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation—0
Comparative Explanations of Recommendations—0
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems—0
Parameterized Explanations for Investor / Company Matching—0
Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation—0
A Survey on Reinforcement Learning for Recommender Systems—0
Adherence and Constancy in LIME-RS Explanations for Recommendation—0
Explainable Recommendation with Comparative Constraints on Product AspectsCode0
Generate Natural Language Explanations for Recommendation—0
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions—0
Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications—0
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