:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Shuyuan, Chen, Wei, Shi, Boyan, Zhou, Liyong, Lin, Shuohao, Wan, Huaiyu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Information Retrieval
Online Access:	https://arxiv.org/abs/2412.16502
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation
by: Zhao, Shuyuan, et al.
Published: (2026)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
by: Li, Li, et al.
Published: (2024)

A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
by: Zhang, Zhiyu, et al.
Published: (2025)

Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
by: Zhu, Zhangchi, et al.
Published: (2024)

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
by: Wei, Shaowei, et al.
Published: (2024)

Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
by: Liang, Shunpan, et al.
Published: (2024)

Hierarchical Spatial-Temporal Graph-Enhanced Model for Map-Matching
by: Gao, Anjun, et al.
Published: (2026)

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
by: Xu, Wujiang, et al.
Published: (2024)

Traceable Drug Recommendation over Medical Knowledge Graphs
by: Lin, Yu, et al.
Published: (2025)

Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
by: Du, Yingpeng, et al.
Published: (2024)

Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation
by: Zhang, Jiaqing, et al.
Published: (2025)

Multiple Models for Recommending Temporal Aspects of Entities
by: Nguyen, Tu, et al.
Published: (2018)

Large Language Model Distilling Medication Recommendation Model
by: Liu, Qidong, et al.
Published: (2024)

Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
by: Markowitz, Elan, et al.
Published: (2023)

Dual Correction Strategy for Ranking Distillation in Top-N Recommender System
by: Lee, Youngjune, et al.
Published: (2021)

Temporal Linear Item-Item Model for Sequential Recommendation
by: Park, Seongmin, et al.
Published: (2024)

Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph
by: Wang, Menghan, et al.
Published: (2024)

System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
by: Agarwal, Arpit, et al.
Published: (2024)

Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
by: Guan, Jianyu, et al.
Published: (2024)

DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
by: Liu, Sicen, et al.
Published: (2023)

Making Recommender Systems More Knowledgeable: A Framework to Incorporate Side Information
by: Jiang, Yukun, et al.
Published: (2024)

Algorithm Adaptation Bias in Recommendation System Online Experiments
by: Zheng, Chen, et al.
Published: (2025)

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
by: Ji, Luo, et al.
Published: (2024)

Cross-Representation Knowledge Transfer for Improved Sequential Recommendations
by: Gimranov, Artur, et al.
Published: (2026)

Efficient and Robust Regularized Federated Recommendation
by: Liu, Langming, et al.
Published: (2024)

Bootstrapping Conditional Retrieval for User-to-Item Recommendations
by: Lin, Hongtao, et al.
Published: (2025)

Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
by: Su, Yixin, et al.
Published: (2025)

Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models
by: Shang, Hongwei, et al.
Published: (2025)

Temporal Interest Network for User Response Prediction
by: Zhou, Haolin, et al.
Published: (2023)

Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
by: Shen, Junhao, et al.
Published: (2024)

SS4Rec: Continuous-Time Sequential Recommendation with State Space Models
by: Xiao, Wei, et al.
Published: (2025)

KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
by: Jeon, Dong Hyun, et al.
Published: (2025)

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
by: Li, Yanhui, et al.
Published: (2025)

Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems
by: Khani, Nikhil, et al.
Published: (2024)

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
by: Xu, Wei, et al.
Published: (2025)

UP5: Unbiased Foundation Model for Fairness-aware Recommendation
by: Hua, Wenyue, et al.
Published: (2023)

CSRec: Rethinking Sequential Recommendation from A Causal Perspective
by: Liu, Xiaoyu, et al.
Published: (2024)

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
by: Liu, Guangyi, et al.
Published: (2024)

Generative Recommendation for Large-Scale Advertising
by: Xue, Ben, et al.
Published: (2026)