{"total":38,"rows":[{"id":"2408.00818","title":"Y Social: an LLM-powered Social Media Digital Twin","created":"2024-08-01","cited_by_count":44,"area":null},{"id":"2211.07819","title":"General Intelligence Requires Rethinking Exploration","created":"2022-11-15","cited_by_count":20,"area":null},{"id":"2305.05848","title":"Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation","created":"2023-05-10","cited_by_count":14,"area":null},{"id":"2108.05669","title":"Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery","created":"2021-08-12","cited_by_count":13,"area":null},{"id":"2307.01221","title":"Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review","created":"2023-07-02","cited_by_count":13,"area":null},{"id":"2112.05084","title":"A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation","created":"2021-12-09","cited_by_count":12,"area":null},{"id":"2106.12622","title":"The Stereotyping Problem in Collaboratively Filtered Recommender Systems","created":"2021-06-23","cited_by_count":10,"area":null},{"id":"2210.07773","title":"Diversified Recommendations for Agents with Adaptive Preferences","created":"2022-09-20","cited_by_count":9,"area":null},{"id":"2206.11338","title":"Synthetic Data-Based Simulators for Recommender Systems: A Survey","created":"2022-06-22","cited_by_count":5,"area":null},{"id":"2406.09882","title":"Harm Mitigation in Recommender Systems under User Preference Dynamics","created":"2024-06-14","cited_by_count":5,"area":null},{"id":"2408.08981","title":"From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning","created":"2024-08-16","cited_by_count":5,"area":null},{"id":"2507.02000","title":"Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System","created":"2025-07-01","cited_by_count":5,"area":null},{"id":"2206.11886","title":"On the Generalizability and Predictability of Recommender Systems","created":"2022-06-23","cited_by_count":4,"area":null},{"id":"2301.05492","title":"Disentangled Representation for Diversified Recommendations","created":"2023-01-13","cited_by_count":4,"area":null},{"id":"2405.12327","title":"Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems","created":"2024-05-20","cited_by_count":4,"area":null},{"id":"2409.05872","title":"CSRec: Rethinking Sequential Recommendation from A Causal Perspective","created":"2024-08-23","cited_by_count":4,"area":null},{"id":"2301.01737","title":"Episodes Discovery Recommendation with Multi-Source Augmentations","created":"2023-01-04","cited_by_count":3,"area":null},{"id":"2208.11094","title":"Dynamic Causal Collaborative Filtering","created":"2022-08-23","cited_by_count":2,"area":null},{"id":"2305.04043","title":"Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber","created":"2023-05-06","cited_by_count":2,"area":null},{"id":"2312.17443","title":"Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems","created":"2023-12-29","cited_by_count":2,"area":null},{"id":"2405.09543","title":"Algorithmic Fairness: A Tolerance Perspective","created":"2024-04-26","cited_by_count":2,"area":null},{"id":"2412.08780","title":"Reducing Popularity Influence by Addressing Position Bias","created":"2024-12-11","cited_by_count":2,"area":null},{"id":"2505.10940","title":"Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2201.07203","title":"Emergent Instabilities in Algorithmic Feedback Loops","created":"2022-01-18","cited_by_count":1,"area":null},{"id":"2303.09527","title":"Fairness-aware Differentially Private Collaborative Filtering","created":"2023-03-16","cited_by_count":1,"area":null},{"id":"2306.11986","title":"Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity","created":"2023-06-21","cited_by_count":1,"area":null},{"id":"2310.00336","title":"DURENDAL: Graph deep learning framework for temporal heterogeneous networks","created":"2023-09-30","cited_by_count":1,"area":null},{"id":"2310.13253","title":"Knowledge Graph Context-Enhanced Diversified Recommendation","created":"2023-10-20","cited_by_count":1,"area":null},{"id":"2410.09514","title":"Eco-Aware Graph Neural Networks for Sustainable Recommendations","created":"2024-10-12","cited_by_count":1,"area":null},{"id":"2607.17461","title":"HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation","created":"2026-07-20","cited_by_count":1,"area":null},{"id":"2607.18609","title":"Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation","created":"2026-07-21","cited_by_count":1,"area":null},{"id":"2209.04589","title":"Causal Intervention for Fairness in Multi-behavior Recommendation","created":"2022-09-10","cited_by_count":0,"area":null},{"id":"2308.02058","title":"Incorporating Recklessness to Collaborative Filtering based Recommender Systems","created":"2023-08-03","cited_by_count":0,"area":null},{"id":"2311.03381","title":"Separating and Learning Latent Confounders to Enhancing User Preferences Modeling","created":"2023-11-02","cited_by_count":0,"area":null},{"id":"2401.10690","title":"Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models","created":"2024-01-19","cited_by_count":0,"area":null},{"id":"2505.14310","title":"Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2507.19346","title":"Short-Form Video Recommendations with Multimodal Embeddings: Addressing Cold-Start and Bias Challenges","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2601.07884","title":"Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies","created":"2026-01-12","cited_by_count":0,"area":null}],"next_cursor":null}