cold-start recommendation

Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation ACL 2026 M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation AAAI 2026 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026 Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation AAAI 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation AAAI 2025 Cold-start Recommendation by Personalized Embedding Region Elicitation UAI 2024 Few-Shot Learning for Cold-Start Recommendation COLING 2024 Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation AAAI 2024 Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024 Dynamic Offset Metric on Heterogeneous Information Networks for Cold-start Recommendation ACML 2023 A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations AAAI 2022 SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation AAAI 2022 Graph Heterogeneous Multi-Relational Recommendation AAAI 2021 Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation NeurIPS 2021 Preference-Adaptive Meta-Learning for Cold-Start Recommendation IJCAI 2021 U-BERT: Pre-training User Representations for Improved Recommendation AAAI 2021 Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation AAAI 2020 From Zero-Shot Learning to Cold-Start Recommendation AAAI 2019 A Meta-Learning Perspective on Cold-Start Recommendations for Items NeurIPS 2017 Gaussian Process Preference Elicitation NeurIPS 2010