cold-start problem

Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model (Abstract Reprint) AAAI 2026 MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender AAAI 2026 TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models AAAI 2026 Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling AAAI 2025 Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning ACL 2025 BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale AAAI 2025 Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation AAAI 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Integrating Group-based Preferences from Coarse to Fine for Cold-start Users Recommendation COLING 2025 Is Lunch Free Yet? Overcoming the Cold-Start Problem in Supervised Content Scoring using Zero-Shot LLM-Generated Training Data ACL 2025 Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning ACL 2025 LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation EMNLP 2025 LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations COLING 2025 One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL ACL 2025 Reinforcement Learning for Adversarial Query Generation to Enhance Relevance in Cold-Start Product Search ACL 2025 Scholar Inbox: Personalized Paper Recommendations for Scientists ACL 2025 Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS IJCAI 2025 Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model NeurIPS 2024 Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy AAAI 2024 Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users COLING 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation AAAI 2024 On the Topology Awareness and Generalization Performance of Graph Neural Networks ECCV 2024 Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments NAACL 2024 Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation AAAI 2024 Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives AAAI 2024