{"total":33,"rows":[{"id":"2201.08164","title":"From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI","created":"2022-01-20","cited_by_count":302,"area":null},{"id":"2108.10539","title":"Counterfactual Explainable Recommendation","created":"2021-08-24","cited_by_count":60,"area":null},{"id":"2108.06479","title":"Contrastive Self-supervised Sequential Recommendation with Robust Augmentation","created":"2021-08-14","cited_by_count":56,"area":null},{"id":"2105.04774","title":"Learning to Ask Appropriate Questions in Conversational Recommendation","created":"2021-05-11","cited_by_count":35,"area":null},{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2202.06466","title":"Measuring \"Why\" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation","created":"2022-02-14","cited_by_count":14,"area":null},{"id":"2409.02580","title":"AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation","created":"2024-09-04","cited_by_count":13,"area":null},{"id":"2305.07633","title":"Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training","created":"2023-05-12","cited_by_count":12,"area":null},{"id":"2110.14844","title":"From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems","created":"2021-10-28","cited_by_count":9,"area":null},{"id":"2302.14061","title":"Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks","created":"2023-02-27","cited_by_count":9,"area":null},{"id":"2111.00670","title":"Comparative Explanations of Recommendations","created":"2021-11-01","cited_by_count":8,"area":null},{"id":"2406.00046","title":"Hate Speech Detection with Generalizable Target-aware Fairness","created":"2024-05-28","cited_by_count":7,"area":null},{"id":"2411.17063","title":"Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning","created":"2024-11-26","cited_by_count":6,"area":null},{"id":"2104.01716","title":"Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling","created":"2021-04-05","cited_by_count":4,"area":null},{"id":"2107.03256","title":"\"Are you sure?\": Preliminary Insights from Scaling Product Comparisons to Multiple Shops","created":"2021-07-07","cited_by_count":4,"area":null},{"id":"2204.02473","title":"\"Does it come in black?\" CLIP-like models are zero-shot recommenders","created":"2022-04-05","cited_by_count":4,"area":null},{"id":"2211.02533","title":"A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data","created":"2022-11-04","cited_by_count":4,"area":null},{"id":"2304.03984","title":"DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning","created":"2023-04-08","cited_by_count":4,"area":null},{"id":"2308.00894","title":"User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations","created":"2023-08-02","cited_by_count":3,"area":null},{"id":"2107.01655","title":"Attribute-aware Explainable Complementary Clothing Recommendation","created":"2021-07-04","cited_by_count":2,"area":null},{"id":"2112.09341","title":"Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent","created":"2021-12-17","cited_by_count":2,"area":null},{"id":"2201.03158","title":"Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems","created":"2022-01-10","cited_by_count":2,"area":null},{"id":"2210.12506","title":"Self-supervised Graph-based Point-of-interest Recommendation","created":"2022-10-22","cited_by_count":2,"area":null},{"id":"2411.02041","title":"Enhancing ID-based Recommendation with Large Language Models","created":"2024-11-04","cited_by_count":2,"area":null},{"id":"2507.22268","title":"Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items","created":"2025-07-29","cited_by_count":2,"area":null},{"id":"2305.05331","title":"Explainable Recommender with Geometric Information Bottleneck","created":"2023-05-09","cited_by_count":0,"area":null},{"id":"2404.08687","title":"A Survey of Reasoning for Substitution Relationships: Definitions, Methods, and Directions","created":"2024-04-09","cited_by_count":0,"area":null},{"id":"2405.01849","title":"Stability of Explainable Recommendation","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2405.01855","title":"Robust Explainable Recommendation","created":"2024-05-03","cited_by_count":0,"area":null},{"id":"2407.00063","title":"An Interpretable Alternative to Neural Representation Learning for Rating Prediction -- Transparent Latent Class Modeling of User Reviews","created":"2024-06-17","cited_by_count":0,"area":null},{"id":"2501.11870","title":"Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation","created":"2025-01-21","cited_by_count":0,"area":null},{"id":"2510.10920","title":"Comparative Explanations via Counterfactual Reasoning in Recommendations","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2607.01387","title":"Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search","created":"2026-07-01","cited_by_count":0,"area":null}],"next_cursor":null}