SimRec: Mitigating the Cold-Start Problem in Sequential Recommendation by Integrating Item Similarity
Fuente:
arXiv
Guardado en:
| Autores principales: | Brody, Shaked, Lagziel, Shoval |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
RLT4Rec: Reinforcement Learning Transformer for User Cold Start and Item Recommendation
por: Rajapakse, Dilina Chandika, et al.
Publicado: (2024)
por: Rajapakse, Dilina Chandika, et al.
Publicado: (2024)
GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
por: Shen, Chenglei, et al.
Publicado: (2026)
por: Shen, Chenglei, et al.
Publicado: (2026)
SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
por: Yao, Yining, et al.
Publicado: (2025)
por: Yao, Yining, et al.
Publicado: (2025)
Item-centric Exploration for Cold Start Problem
por: Wang, Dong, et al.
Publicado: (2025)
por: Wang, Dong, et al.
Publicado: (2025)
On Inherited Popularity Bias in Cold-Start Item Recommendation
por: Meehan, Gregor, et al.
Publicado: (2025)
por: Meehan, Gregor, et al.
Publicado: (2025)
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions
por: Zhang, Chunxu, et al.
Publicado: (2023)
por: Zhang, Chunxu, et al.
Publicado: (2023)
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
por: Zhang, Wenlin, et al.
Publicado: (2024)
por: Zhang, Wenlin, et al.
Publicado: (2024)
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
por: Wang, Jianling, et al.
Publicado: (2024)
por: Wang, Jianling, et al.
Publicado: (2024)
MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
por: Liu, Jialin, et al.
Publicado: (2026)
por: Liu, Jialin, et al.
Publicado: (2026)
Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation
por: Subbaraman, Nachiket, et al.
Publicado: (2025)
por: Subbaraman, Nachiket, et al.
Publicado: (2025)
Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
por: Pembek, Anton, et al.
Publicado: (2025)
por: Pembek, Anton, et al.
Publicado: (2025)
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation
por: He, Hulingxiao, et al.
Publicado: (2024)
por: He, Hulingxiao, et al.
Publicado: (2024)
RAGSys: Item-Cold-Start Recommender as RAG System
por: Contal, Emile, et al.
Publicado: (2024)
por: Contal, Emile, et al.
Publicado: (2024)
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
por: Luo, Yunze, et al.
Publicado: (2024)
por: Luo, Yunze, et al.
Publicado: (2024)
EpicCBR: Item-Relation-Enhanced Dual-Scenario Contrastive Learning for Cold-Start Bundle Recommendation
por: Li, Yihang, et al.
Publicado: (2026)
por: Li, Yihang, et al.
Publicado: (2026)
Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions
por: Xiang, Yang, et al.
Publicado: (2025)
por: Xiang, Yang, et al.
Publicado: (2025)
FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems
por: Weimann, Kuba, et al.
Publicado: (2022)
por: Weimann, Kuba, et al.
Publicado: (2022)
Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
por: Lemdiasova, Ekaterina, et al.
Publicado: (2026)
por: Lemdiasova, Ekaterina, et al.
Publicado: (2026)
RaSeRec: Retrieval-Augmented Sequential Recommendation
por: Zhao, Xinping, et al.
Publicado: (2024)
por: Zhao, Xinping, et al.
Publicado: (2024)
RecGPT: A Foundation Model for Sequential Recommendation
por: Jiang, Yangqin, et al.
Publicado: (2025)
por: Jiang, Yangqin, et al.
Publicado: (2025)
BiCoRec: Bias-Mitigated Context-Aware Sequential Recommendation Model
por: Muthivhi, Mufhumudzi, et al.
Publicado: (2025)
por: Muthivhi, Mufhumudzi, et al.
Publicado: (2025)
Graph Neural Patching for Cold-Start Recommendations
por: Chen, Hao, et al.
Publicado: (2024)
por: Chen, Hao, et al.
Publicado: (2024)
AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
por: Zhang, Kaike, et al.
Publicado: (2025)
por: Zhang, Kaike, et al.
Publicado: (2025)
MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation
por: Zhang, Shun, et al.
Publicado: (2024)
por: Zhang, Shun, et al.
Publicado: (2024)
On the Efficiency of Sequentially Aware Recommender Systems: Cotten4Rec
por: Veludandi, Shankar, et al.
Publicado: (2026)
por: Veludandi, Shankar, et al.
Publicado: (2026)
LLMDiRec: LLM-Enhanced Intent Diffusion for Sequential Recommendation
por: Chen, Bo-Chian, et al.
Publicado: (2025)
por: Chen, Bo-Chian, et al.
Publicado: (2025)
LLM Reasoning for Cold-Start Item Recommendation
por: Li, Shijun, et al.
Publicado: (2025)
por: Li, Shijun, et al.
Publicado: (2025)
Large Language Model Simulator for Cold-Start Recommendation
por: Huang, Feiran, et al.
Publicado: (2024)
por: Huang, Feiran, et al.
Publicado: (2024)
Leveraging Artist Catalogs for Cold-Start Music Recommendation
por: Tamm, Yan-Martin, et al.
Publicado: (2026)
por: Tamm, Yan-Martin, et al.
Publicado: (2026)
Cold-Starts in Generative Recommendation: A Reproducibility Study
por: Zhang, Zhen, et al.
Publicado: (2026)
por: Zhang, Zhen, et al.
Publicado: (2026)
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
por: Lin, Xinyu, et al.
Publicado: (2023)
por: Lin, Xinyu, et al.
Publicado: (2023)
PixRec: Leveraging Visual Context for Next-Item Prediction in Sequential Recommendation
por: Chakrabarty, Sayak, et al.
Publicado: (2026)
por: Chakrabarty, Sayak, et al.
Publicado: (2026)
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
por: Bacciu, Andrea, et al.
Publicado: (2023)
por: Bacciu, Andrea, et al.
Publicado: (2023)
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions
por: Wang, Yaqing, et al.
Publicado: (2024)
por: Wang, Yaqing, et al.
Publicado: (2024)
VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation
por: Zheng, Linan, et al.
Publicado: (2023)
por: Zheng, Linan, et al.
Publicado: (2023)
M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation
por: Zhang, Qianru, et al.
Publicado: (2025)
por: Zhang, Qianru, et al.
Publicado: (2025)
Temporal Linear Item-Item Model for Sequential Recommendation
por: Park, Seongmin, et al.
Publicado: (2024)
por: Park, Seongmin, et al.
Publicado: (2024)
Sparse Contrastive Learning for Content-Based Cold Item Recommendation
por: Meehan, Gregor, et al.
Publicado: (2026)
por: Meehan, Gregor, et al.
Publicado: (2026)
Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users
por: Zeng, Guohang, et al.
Publicado: (2024)
por: Zeng, Guohang, et al.
Publicado: (2024)
Language-Model Prior Overcomes Cold-Start Items
por: Wang, Shiyu, et al.
Publicado: (2024)
por: Wang, Shiyu, et al.
Publicado: (2024)
Ejemplares similares
-
RLT4Rec: Reinforcement Learning Transformer for User Cold Start and Item Recommendation
por: Rajapakse, Dilina Chandika, et al.
Publicado: (2024) -
GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items
por: Shen, Chenglei, et al.
Publicado: (2026) -
SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
por: Yao, Yining, et al.
Publicado: (2025) -
Item-centric Exploration for Cold Start Problem
por: Wang, Dong, et al.
Publicado: (2025) -
On Inherited Popularity Bias in Cold-Start Item Recommendation
por: Meehan, Gregor, et al.
Publicado: (2025)