| Learning to Rank Rationales for Explainable Recommendation | Jun 10, 2022 | Explainable RecommendationLearning-To-Rank | CodeCode Available | 0 | 5 |
| Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation | May 9, 2018 | Collaborative FilteringExplainable Recommendation | CodeCode Available | 0 | 5 |
| Hypergraphs with Attention on Reviews for Explainable Recommendation | Mar 20, 2024 | Explainable RecommendationRecommendation Systems | CodeCode Available | 0 | 5 |
| Counterfactual Multi-player Bandits for Explainable Recommendation Diversification | May 27, 2025 | counterfactualDiversity | CodeCode Available | 0 | 5 |
| Finding Paths for Explainable MOOC Recommendation: A Learner Perspective | Dec 11, 2023 | Explainable RecommendationKnowledge Graphs | CodeCode Available | 0 | 5 |
| Hybrid Deep Embedding for Recommendations with Dynamic Aspect-Level Explanations | Jan 18, 2020 | Explainable Recommendation | CodeCode Available | 0 | 5 |
| Interpret the Internal States of Recommendation Model with Sparse Autoencoder | Nov 9, 2024 | Explainable RecommendationFairness | CodeCode Available | 0 | 5 |
| Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability | Jul 27, 2023 | Explainable RecommendationExplanation Generation | CodeCode Available | 0 | 5 |
| Explainable Recommender Systems via Resolving Learning Representations | Aug 21, 2020 | AttributeExplainable Recommendation | —Unverified | 0 | 0 |
| Comparative Explanations of Recommendations | Nov 1, 2021 | Explainable RecommendationRecommendation Systems | —Unverified | 0 | 0 |
