Saved in:
| Main Authors: | Jiang, Yukun, Guo, Leo, Chen, Xinyi, Liu, Jing Xi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.00615 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Creator-Side Recommender System: Challenges, Designs, and Applications
by: Chen, Xiaoshuang, et al.
Published: (2025)
by: Chen, Xiaoshuang, et al.
Published: (2025)
Incentive-Aware Recommender Systems in Two-Sided Markets
by: Dai, Xiaowu, et al.
Published: (2022)
by: Dai, Xiaowu, et al.
Published: (2022)
Shilling Recommender Systems by Generating Side-feature-aware Fake User Profiles
by: Wang, Yuanrong, et al.
Published: (2025)
by: Wang, Yuanrong, et al.
Published: (2025)
Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)
by: Liu, Xiaolong, et al.
Published: (2023)
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
by: Tan, Juntao, et al.
Published: (2023)
by: Tan, Juntao, et al.
Published: (2023)
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
by: Jeon, Dong Hyun, et al.
Published: (2025)
by: Jeon, Dong Hyun, et al.
Published: (2025)
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns
by: Sharma, Vibhhu, et al.
Published: (2024)
by: Sharma, Vibhhu, et al.
Published: (2024)
Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
by: Markowitz, Elan, et al.
Published: (2023)
by: Markowitz, Elan, et al.
Published: (2023)
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
by: Li, Li, et al.
Published: (2024)
by: Li, Li, et al.
Published: (2024)
Less is More: Benchmarking LLM Based Recommendation Agents
by: Chauhan, Kargi, et al.
Published: (2026)
by: Chauhan, Kargi, et al.
Published: (2026)
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
by: Su, Liangcai, et al.
Published: (2023)
by: Su, Liangcai, et al.
Published: (2023)
CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems
by: Zhang, Haochen, et al.
Published: (2025)
by: Zhang, Haochen, et al.
Published: (2025)
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
by: Zhao, Shuyuan, et al.
Published: (2024)
by: Zhao, Shuyuan, et al.
Published: (2024)
Generalized Embedding Machines for Recommender Systems
by: Yang, Enneng, et al.
Published: (2020)
by: Yang, Enneng, et al.
Published: (2020)
Shallow AutoEncoding Recommender with Cold Start Handling via Side Features
by: Cui, Edward DongBo, et al.
Published: (2025)
by: Cui, Edward DongBo, et al.
Published: (2025)
LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
by: Li, Yanhui, et al.
Published: (2025)
by: Li, Yanhui, et al.
Published: (2025)
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
by: Li, Chen, et al.
Published: (2023)
by: Li, Chen, et al.
Published: (2023)
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
by: Su, Shuo, et al.
Published: (2024)
by: Su, Shuo, et al.
Published: (2024)
TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems
by: Yu, Jiahao, et al.
Published: (2025)
by: Yu, Jiahao, et al.
Published: (2025)
On the Embedding Collapse when Scaling up Recommendation Models
by: Guo, Xingzhuo, et al.
Published: (2023)
by: Guo, Xingzhuo, et al.
Published: (2023)
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
by: Liu, Yuting, et al.
Published: (2024)
by: Liu, Yuting, et al.
Published: (2024)
Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph
by: Wang, Menghan, et al.
Published: (2024)
by: Wang, Menghan, et al.
Published: (2024)
Tweedie Regression for Video Recommendation System
by: Zheng, Yan, et al.
Published: (2025)
by: Zheng, Yan, et al.
Published: (2025)
Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
by: Liang, Shunpan, et al.
Published: (2024)
by: Liang, Shunpan, et al.
Published: (2024)
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation
by: Liu, Yuting, et al.
Published: (2023)
by: Liu, Yuting, et al.
Published: (2023)
Quantifying User Coherence: A Unified Framework for Analyzing Recommender Systems Across Domains
by: Soumm, Michaël, et al.
Published: (2024)
by: Soumm, Michaël, et al.
Published: (2024)
Navigating the Future of Federated Recommendation Systems with Foundation Models
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System
by: Zhao, Zhenyu, et al.
Published: (2024)
by: Zhao, Zhenyu, et al.
Published: (2024)
Co-clustering for Federated Recommender System
by: He, Xinrui, et al.
Published: (2024)
by: He, Xinrui, et al.
Published: (2024)
PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
by: Guan, Jianyu, et al.
Published: (2024)
by: Guan, Jianyu, et al.
Published: (2024)
Hierarchical Group-wise Ranking Framework for Recommendation Models
by: Yan, YaChen, et al.
Published: (2025)
by: Yan, YaChen, et al.
Published: (2025)
Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
by: Liu, Guangyi, et al.
Published: (2024)
by: Liu, Guangyi, et al.
Published: (2024)
Large Language Model as Universal Retriever in Industrial-Scale Recommender System
by: Jiang, Junguang, et al.
Published: (2025)
by: Jiang, Junguang, et al.
Published: (2025)
RSAttAE: An Information-Aware Attention-based Autoencoder Recommender System
by: Taromi, Amirhossein Dadashzadeh, et al.
Published: (2025)
by: Taromi, Amirhossein Dadashzadeh, et al.
Published: (2025)
Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach
by: Chen, Jialei, et al.
Published: (2025)
by: Chen, Jialei, et al.
Published: (2025)
Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
by: Jiang, Runhao, et al.
Published: (2026)
by: Jiang, Runhao, et al.
Published: (2026)
Algorithm Adaptation Bias in Recommendation System Online Experiments
by: Zheng, Chen, et al.
Published: (2025)
by: Zheng, Chen, et al.
Published: (2025)
DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation
by: Huang, Heyuan, et al.
Published: (2024)
by: Huang, Heyuan, et al.
Published: (2024)
Continual Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)
by: Yoo, Hyunsik, et al.
Published: (2025)
Similar Items
-
Creator-Side Recommender System: Challenges, Designs, and Applications
by: Chen, Xiaoshuang, et al.
Published: (2025) -
Incentive-Aware Recommender Systems in Two-Sided Markets
by: Dai, Xiaowu, et al.
Published: (2022) -
Shilling Recommender Systems by Generating Side-feature-aware Fake User Profiles
by: Wang, Yuanrong, et al.
Published: (2025) -
Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023) -
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
by: Tan, Juntao, et al.
Published: (2023)