On Inherited Popularity Bias in Cold-Start Item Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Meehan, Gregor, Pauwels, Johan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sparse Contrastive Learning for Content-Based Cold Item Recommendation
by: Meehan, Gregor, et al.
Published: (2026)
by: Meehan, Gregor, et al.
Published: (2026)
Leveraging Artist Catalogs for Cold-Start Music Recommendation
by: Tamm, Yan-Martin, et al.
Published: (2026)
by: Tamm, Yan-Martin, et al.
Published: (2026)
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
by: Luo, Yunze, et al.
Published: (2024)
by: Luo, Yunze, 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)
Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation
by: Subbaraman, Nachiket, et al.
Published: (2025)
by: Subbaraman, Nachiket, et al.
Published: (2025)
Item-centric Exploration for Cold Start Problem
by: Wang, Dong, et al.
Published: (2025)
by: Wang, Dong, et al.
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)
RLT4Rec: Reinforcement Learning Transformer for User Cold Start and Item Recommendation
by: Rajapakse, Dilina Chandika, et al.
Published: (2024)
by: Rajapakse, Dilina Chandika, et al.
Published: (2024)
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation
by: He, Hulingxiao, et al.
Published: (2024)
by: He, Hulingxiao, et al.
Published: (2024)
RAGSys: Item-Cold-Start Recommender as RAG System
by: Contal, Emile, et al.
Published: (2024)
by: Contal, Emile, et al.
Published: (2024)
Correcting Popularity Bias in Recommender Systems via Item Loss Equalization
by: Prent, Juno, et al.
Published: (2024)
by: Prent, Juno, et al.
Published: (2024)
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)
Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions
by: Xiang, Yang, et al.
Published: (2025)
by: Xiang, Yang, et al.
Published: (2025)
EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation
by: Li, Yihang, et al.
Published: (2026)
by: Li, Yihang, et al.
Published: (2026)
FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems
by: Weimann, Kuba, et al.
Published: (2022)
by: Weimann, Kuba, et al.
Published: (2022)
GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
by: Shen, Chenglei, et al.
Published: (2026)
by: Shen, Chenglei, et al.
Published: (2026)
Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
LLM Reasoning for Cold-Start Item Recommendation
by: Li, Shijun, et al.
Published: (2025)
by: Li, Shijun, et al.
Published: (2025)
Large Language Model Simulator for Cold-Start Recommendation
by: Huang, Feiran, et al.
Published: (2024)
by: Huang, Feiran, et al.
Published: (2024)
Cold-Starts in Generative Recommendation: A Reproducibility Study
by: Zhang, Zhen, et al.
Published: (2026)
by: Zhang, Zhen, et al.
Published: (2026)
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions
by: Wang, Yaqing, et al.
Published: (2024)
by: Wang, Yaqing, et al.
Published: (2024)
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)
Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
by: Pembek, Anton, et al.
Published: (2025)
by: Pembek, Anton, et al.
Published: (2025)
Language-Model Prior Overcomes Cold-Start Items
by: Wang, Shiyu, et al.
Published: (2024)
by: Wang, Shiyu, et al.
Published: (2024)
Prompt Tuning for Item Cold-start Recommendation
by: Jiang, Yuezihan, et al.
Published: (2024)
by: Jiang, Yuezihan, et al.
Published: (2024)
Addressing Cold Start For next-article Recommendation
by: Elgohary, Omar, et al.
Published: (2025)
by: Elgohary, Omar, et al.
Published: (2025)
Are Large Language Models Really Effective for Training-Free Cold-Start Recommendation?
by: Kusano, Genki, et al.
Published: (2025)
by: Kusano, Genki, et al.
Published: (2025)
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)
Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, 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)
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)
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)
Personalized Multi-Interest Modeling for Cross-Domain Recommendation to Cold-Start Users
by: Li, Xiaodong, et al.
Published: (2026)
by: Li, Xiaodong, et al.
Published: (2026)
Graph Reasoning for Explainable Cold Start Recommendation
by: Frej, Jibril, et al.
Published: (2024)
by: Frej, Jibril, et al.
Published: (2024)
Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations
by: Forster, Andrea, et al.
Published: (2025)
by: Forster, Andrea, et al.
Published: (2025)
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
by: Müllner, Peter, et al.
Published: (2024)
by: Müllner, Peter, et al.
Published: (2024)
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems
by: Huang, Jin, et al.
Published: (2024)
by: Huang, Jin, 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)
Similar Items
-
Sparse Contrastive Learning for Content-Based Cold Item Recommendation
by: Meehan, Gregor, et al.
Published: (2026) -
Leveraging Artist Catalogs for Cold-Start Music Recommendation
by: Tamm, Yan-Martin, et al.
Published: (2026) -
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
by: Luo, Yunze, et al.
Published: (2024) -
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024) -
Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation
by: Subbaraman, Nachiket, et al.
Published: (2025)