Similar Items
TriMat: Context-aware Recommendation by Tri-Matrix Factorization
by: Wang, Hao
Published: (2025)
by: Wang, Hao
Published: (2025)
Prompt Tuning for Item Cold-start Recommendation
by: Jiang, Yuezihan, et al.
Published: (2024)
by: Jiang, Yuezihan, et al.
Published: (2024)
Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation
by: Zheng, Linan, et al.
Published: (2023)
by: Zheng, Linan, et al.
Published: (2023)
Cold-start Recommendation by Personalized Embedding Region Elicitation
by: Nguyen, Hieu Trung, et al.
Published: (2024)
by: Nguyen, Hieu Trung, et al.
Published: (2024)
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024)
by: Wang, Jianling, et al.
Published: (2024)
MDiffFR: Modality-Guided Diffusion Generation for Cold-start Items in Federated Recommendation
by: Fu, Kang, et al.
Published: (2025)
by: Fu, Kang, et al.
Published: (2025)
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
by: Kieu, Hai-Dang, et al.
Published: (2024)
by: Kieu, Hai-Dang, et al.
Published: (2024)
Large Language Model Simulator for Cold-Start Recommendation
by: Huang, Feiran, et al.
Published: (2024)
by: Huang, Feiran, et al.
Published: (2024)
Continuous Input Embedding Size Search For Recommender Systems
by: Qu, Yunke, et al.
Published: (2023)
by: Qu, Yunke, et al.
Published: (2023)
Towards Practical Large-scale Dynamical Heterogeneous Graph Embedding: Cold-start Resilient Recommendation
by: Long, Mabiao, et al.
Published: (2025)
by: Long, Mabiao, et al.
Published: (2025)
Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation
by: Nguyen, Van-Khang, et al.
Published: (2025)
by: Nguyen, Van-Khang, et al.
Published: (2025)
Emotion-based Recommender System
by: Wang, Hao
Published: (2025)
by: Wang, Hao
Published: (2025)
SimRec: Mitigating the Cold-Start Problem in Sequential Recommendation by Integrating Item Similarity
by: Brody, Shaked, et al.
Published: (2024)
by: Brody, Shaked, et al.
Published: (2024)
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
by: Wu, Xuansheng, et al.
Published: (2023)
by: Wu, Xuansheng, et al.
Published: (2023)
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
by: Zhang, Chunxu, et al.
Published: (2023)
by: Zhang, Chunxu, et al.
Published: (2023)
Mitigating Position Bias with Regularization for Recommender Systems
by: Wang, Hao
Published: (2024)
by: Wang, Hao
Published: (2024)
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
by: Liu, Ruochen, et al.
Published: (2025)
by: Liu, Ruochen, et al.
Published: (2025)
LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation
by: Sakurai, Keigo, et al.
Published: (2024)
by: Sakurai, Keigo, et al.
Published: (2024)
General Item Representation Learning for Cold-start Content Recommendations
by: Kim, Jooeun, et al.
Published: (2024)
by: Kim, Jooeun, et al.
Published: (2024)
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
by: Jeon, Hyunsik, et al.
Published: (2023)
by: Jeon, Hyunsik, et al.
Published: (2023)
Item-centric Exploration for Cold Start Problem
by: Wang, Dong, et al.
Published: (2025)
by: Wang, Dong, et al.
Published: (2025)
Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations
by: Hänsch, S., et al.
Published: (2026)
by: Hänsch, S., et al.
Published: (2026)
Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026)
by: Hu, Jinxin, et al.
Published: (2026)
Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
by: Lemdiasova, Ekaterina, et al.
Published: (2026)
by: Lemdiasova, Ekaterina, et al.
Published: (2026)
Addressing Cold-start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling
by: Zhu, Wenqiao, et al.
Published: (2025)
by: Zhu, Wenqiao, et al.
Published: (2025)
Leveraging Artist Catalogs for Cold-Start Music Recommendation
by: Tamm, Yan-Martin, et al.
Published: (2026)
by: Tamm, Yan-Martin, et al.
Published: (2026)
Cold-Starts in Generative Recommendation: A Reproducibility Study
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
On Inherited Popularity Bias in Cold-Start Item Recommendation
by: Meehan, Gregor, et al.
Published: (2025)
by: Meehan, Gregor, et al.
Published: (2025)
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation
by: Shi, Yuxiang, et al.
Published: (2022)
by: Shi, Yuxiang, et al.
Published: (2022)
Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues
by: Luo, Yuanshuai, et al.
Published: (2024)
by: Luo, Yuanshuai, et al.
Published: (2024)
Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting
by: Andre, Alexandre, et al.
Published: (2025)
by: Andre, Alexandre, et al.
Published: (2025)
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)
by: Zhang, Wenlin, et al.
Published: (2024)
GreyShot: Zeroshot and Privacy-preserving Recommender System by GM(1,1) Model
by: Wang, Hao
Published: (2025)
by: Wang, Hao
Published: (2025)
GateSID: Adaptive Gating for Semantic-Collaborative Alignment in Cold-Start Recommendation
by: Zhu, Hai, et al.
Published: (2026)
by: Zhu, Hai, et al.
Published: (2026)
AgenticRS-Architecture: System Design for Agentic Recommender Systems
by: Zhang, Hao, et al.
Published: (2026)
by: Zhang, Hao, et al.
Published: (2026)
Sparse Contrastive Learning for Content-Based Cold Item Recommendation
by: Meehan, Gregor, et al.
Published: (2026)
by: Meehan, Gregor, et al.
Published: (2026)
SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
by: Yao, Yining, et al.
Published: (2025)
by: Yao, Yining, et al.
Published: (2025)
Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users
by: Zeng, Guohang, et al.
Published: (2024)
by: Zeng, Guohang, et al.
Published: (2024)
Similar Items
-
TriMat: Context-aware Recommendation by Tri-Matrix Factorization
by: Wang, Hao
Published: (2025) -
Prompt Tuning for Item Cold-start Recommendation
by: Jiang, Yuezihan, et al.
Published: (2024) -
Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024) -
VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation
by: Zheng, Linan, et al.
Published: (2023) -
Cold-start Recommendation by Personalized Embedding Region Elicitation
by: Nguyen, Hieu Trung, et al.
Published: (2024)