Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhao, Shuyuan, Chen, Wei, Shi, Boyan, Zhou, Liyong, Lin, Shuohao, Wan, Huaiyu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation
por: Zhao, Shuyuan, et al.
Publicado: (2026)
por: Zhao, Shuyuan, et al.
Publicado: (2026)
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
por: Li, Li, et al.
Publicado: (2024)
por: Li, Li, et al.
Publicado: (2024)
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
por: Zhang, Zhiyu, et al.
Publicado: (2025)
por: Zhang, Zhiyu, et al.
Publicado: (2025)
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
por: Zhu, Zhangchi, et al.
Publicado: (2024)
por: Zhu, Zhangchi, et al.
Publicado: (2024)
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
por: Wei, Shaowei, et al.
Publicado: (2024)
por: Wei, Shaowei, et al.
Publicado: (2024)
Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
por: Liang, Shunpan, et al.
Publicado: (2024)
por: Liang, Shunpan, et al.
Publicado: (2024)
Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching
por: Gao, Anjun, et al.
Publicado: (2026)
por: Gao, Anjun, et al.
Publicado: (2026)
Traceable Drug Recommendation over Medical Knowledge Graphs
por: Lin, Yu, et al.
Publicado: (2025)
por: Lin, Yu, et al.
Publicado: (2025)
Knowledge Graph Context-Enhanced Diversified Recommendation
por: Liu, Xiaolong, et al.
Publicado: (2023)
por: Liu, Xiaolong, et al.
Publicado: (2023)
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
por: Xu, Wujiang, et al.
Publicado: (2024)
por: Xu, Wujiang, et al.
Publicado: (2024)
TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation
por: Zhang, Jiaqing, et al.
Publicado: (2025)
por: Zhang, Jiaqing, et al.
Publicado: (2025)
Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
por: Du, Yingpeng, et al.
Publicado: (2024)
por: Du, Yingpeng, et al.
Publicado: (2024)
Multiple Models for Recommending Temporal Aspects of Entities
por: Nguyen, Tu, et al.
Publicado: (2018)
por: Nguyen, Tu, et al.
Publicado: (2018)
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System
por: Lee, Youngjune, et al.
Publicado: (2021)
por: Lee, Youngjune, et al.
Publicado: (2021)
Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
por: Markowitz, Elan, et al.
Publicado: (2023)
por: Markowitz, Elan, et al.
Publicado: (2023)
Temporal Linear Item-Item Model for Sequential Recommendation
por: Park, Seongmin, et al.
Publicado: (2024)
por: Park, Seongmin, et al.
Publicado: (2024)
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
por: Agarwal, Arpit, et al.
Publicado: (2024)
por: Agarwal, Arpit, et al.
Publicado: (2024)
Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph
por: Wang, Menghan, et al.
Publicado: (2024)
por: Wang, Menghan, et al.
Publicado: (2024)
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
por: Guan, Jianyu, et al.
Publicado: (2024)
por: Guan, Jianyu, et al.
Publicado: (2024)
Making Recommender Systems More Knowledgeable: A Framework to Incorporate Side Information
por: Jiang, Yukun, et al.
Publicado: (2024)
por: Jiang, Yukun, et al.
Publicado: (2024)
Algorithm Adaptation Bias in Recommendation System Online Experiments
por: Zheng, Chen, et al.
Publicado: (2025)
por: Zheng, Chen, et al.
Publicado: (2025)
Large Language Model Distilling Medication Recommendation Model
por: Liu, Qidong, et al.
Publicado: (2024)
por: Liu, Qidong, et al.
Publicado: (2024)
Cross-Representation Knowledge Transfer for Improved Sequential Recommendations
por: Gimranov, Artur, et al.
Publicado: (2026)
por: Gimranov, Artur, et al.
Publicado: (2026)
DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
por: Liu, Sicen, et al.
Publicado: (2023)
por: Liu, Sicen, et al.
Publicado: (2023)
Efficient and Robust Regularized Federated Recommendation
por: Liu, Langming, et al.
Publicado: (2024)
por: Liu, Langming, et al.
Publicado: (2024)
Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
por: Shang, Hongwei, et al.
Publicado: (2025)
por: Shang, Hongwei, et al.
Publicado: (2025)
Bootstrapping Conditional Retrieval for User-to-Item Recommendations
por: Lin, Hongtao, et al.
Publicado: (2025)
por: Lin, Hongtao, et al.
Publicado: (2025)
Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
por: Shen, Junhao, et al.
Publicado: (2024)
por: Shen, Junhao, et al.
Publicado: (2024)
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
por: Su, Yixin, et al.
Publicado: (2025)
por: Su, Yixin, et al.
Publicado: (2025)
Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
por: Ji, Luo, et al.
Publicado: (2024)
por: Ji, Luo, et al.
Publicado: (2024)
Temporal Interest Network for User Response Prediction
por: Zhou, Haolin, et al.
Publicado: (2023)
por: Zhou, Haolin, et al.
Publicado: (2023)
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
por: Jeon, Dong Hyun, et al.
Publicado: (2025)
por: Jeon, Dong Hyun, et al.
Publicado: (2025)
LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
por: Li, Yanhui, et al.
Publicado: (2025)
por: Li, Yanhui, et al.
Publicado: (2025)
SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
por: Xiao, Wei, et al.
Publicado: (2025)
por: Xiao, Wei, et al.
Publicado: (2025)
Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
por: Xu, Wei, et al.
Publicado: (2025)
por: Xu, Wei, et al.
Publicado: (2025)
Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations
por: Spadea, Fernando, et al.
Publicado: (2025)
por: Spadea, Fernando, et al.
Publicado: (2025)
CSRec: Rethinking Sequential Recommendation from A Causal Perspective
por: Liu, Xiaoyu, et al.
Publicado: (2024)
por: Liu, Xiaoyu, et al.
Publicado: (2024)
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
por: Deldjoo, Yashar
Publicado: (2024)
por: Deldjoo, Yashar
Publicado: (2024)
What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
por: Ouyang, Zhongyu, et al.
Publicado: (2025)
por: Ouyang, Zhongyu, et al.
Publicado: (2025)
Generative Recommendation for Large-Scale Advertising
por: Xue, Ben, et al.
Publicado: (2026)
por: Xue, Ben, et al.
Publicado: (2026)
Ejemplares similares
-
STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation
por: Zhao, Shuyuan, et al.
Publicado: (2026) -
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
por: Li, Li, et al.
Publicado: (2024) -
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
por: Zhang, Zhiyu, et al.
Publicado: (2025) -
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
por: Zhu, Zhangchi, et al.
Publicado: (2024) -
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
por: Wei, Shaowei, et al.
Publicado: (2024)