recommender system

Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine AAAI 2026 EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems AAAI 2026 Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems AAAI 2026 Federated Context-Aware Personalized Recommendation AAAI 2026 Fidelity-Aware Recommendation Explanations via Stochastic Path Integration AAAI 2026 From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026 Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information AAAI 2026 GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026 Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models AAAI 2026 IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction AAAI 2026 Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities AAAI 2026 Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation ACL 2026 Misinformation Mitigation over Social Networks: a Control Approach L4DC 2026 MM4Rec: Multi-Source and Multi-Scenario Recommender for Unified User Preference AAAI 2026 Multi-graph Fusion Cross-model Contrastive Learning for Recommendation AAAI 2026 MUSS: Multilevel Subset Selection for Relevance and Diversity UAI 2026 PARS: Partial-Label-Learning-inspired Recommender Systems AAAI 2026 Recycling History: Efficient Recommendations from Contextual Dueling Bandits ALT 2026 Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems AAAI 2026 Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems AAAI 2026 SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems AAAI 2026 Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models AAAI 2026 Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals AAAI 2026 TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems AAAI 2026 TrendPulse: A Simple yet Efficient Framework for Capturing Viral E-Commerce Spikes via LLM-Driven Contextualization ACL 2026