Denoising Time Cycle Modeling for Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Xie, Sicong, Li, Qunwei, Xu, Weidi, Shen, Kaiming, Chen, Shaohu, Zhong, Wenliang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Denoised Recommendation Model with Collaborative Signal Decoupling
by: Li, Zefeng, et al.
Published: (2025)
by: Li, Zefeng, et al.
Published: (2025)
Towards Principled Learning for Re-ranking in Recommender Systems
by: Li, Qunwei, et al.
Published: (2025)
by: Li, Qunwei, et al.
Published: (2025)
M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
by: He, Chuan, et al.
Published: (2025)
by: He, Chuan, et al.
Published: (2025)
SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation
by: Shen, Kaiming, et al.
Published: (2024)
by: Shen, Kaiming, et al.
Published: (2024)
LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
by: Wang, Bohao, et al.
Published: (2024)
by: Wang, Bohao, et al.
Published: (2024)
Denoising Long- and Short-term Interests for Sequential Recommendation
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025)
by: Wu, Tongzhou, et al.
Published: (2025)
Double Correction Framework for Denoising Recommendation
by: He, Zhuangzhuang, et al.
Published: (2024)
by: He, Zhuangzhuang, et al.
Published: (2024)
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
by: Zhai, Penglong, et al.
Published: (2025)
by: Zhai, Penglong, et al.
Published: (2025)
Enhancing Recommendation with Denoising Auxiliary Task
by: Liu, Pengsheng, et al.
Published: (2024)
by: Liu, Pengsheng, et al.
Published: (2024)
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
by: Song, Tianrui, et al.
Published: (2024)
by: Song, Tianrui, et al.
Published: (2024)
End-to-end Learnable Clustering for Intent Learning in Recommendation
by: Liu, Yue, et al.
Published: (2024)
by: Liu, Yue, et al.
Published: (2024)
Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation
by: Lan, Yuqin, et al.
Published: (2025)
by: Lan, Yuqin, et al.
Published: (2025)
TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
by: Yang, Wei, et al.
Published: (2026)
by: Yang, Wei, et al.
Published: (2026)
When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising Recommendation
by: Chen, Weipu, et al.
Published: (2024)
by: Chen, Weipu, et al.
Published: (2024)
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
by: Huang, Xu, et al.
Published: (2023)
by: Huang, Xu, et al.
Published: (2023)
Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
by: Cui, Xiaoxi, et al.
Published: (2025)
by: Cui, Xiaoxi, et al.
Published: (2025)
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
by: Zhang, Shengzhe, et al.
Published: (2025)
by: Zhang, Shengzhe, et al.
Published: (2025)
Debiasing Sequential Recommendation with Time-aware Inverse Propensity Scoring
by: Huang, Sirui, et al.
Published: (2026)
by: Huang, Sirui, et al.
Published: (2026)
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
by: Zhao, Ziwei, et al.
Published: (2024)
by: Zhao, Ziwei, et al.
Published: (2024)
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
by: Lei, Yuxuan, et al.
Published: (2023)
by: Lei, Yuxuan, et al.
Published: (2023)
TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
by: Wang, Qingzhuo, et al.
Published: (2026)
by: Wang, Qingzhuo, et al.
Published: (2026)
Time Matters: Enhancing Pre-trained News Recommendation Models with Robust User Dwell Time Injection
by: Jiang, Hao, et al.
Published: (2024)
by: Jiang, Hao, et al.
Published: (2024)
DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
by: Tian, Jiahao, et al.
Published: (2025)
by: Tian, Jiahao, et al.
Published: (2025)
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)
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)
by: Yang, Zhisheng, et al.
Published: (2025)
A Survey on Large Language Models for Recommendation
by: Wu, Likang, et al.
Published: (2023)
by: Wu, Likang, et al.
Published: (2023)
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2025)
by: Liu, Qidong, et al.
Published: (2025)
An item is worth one token in Multimodal Large Language Models-based Sequential Recommendation
by: Zhong, Qiyong, et al.
Published: (2025)
by: Zhong, Qiyong, et al.
Published: (2025)
Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation
by: Zhao, Keyu, et al.
Published: (2025)
by: Zhao, Keyu, et al.
Published: (2025)
Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
by: Xie, Wenjia, et al.
Published: (2024)
by: Xie, Wenjia, et al.
Published: (2024)
When Box Meets Graph Neural Network in Tag-aware Recommendation
by: Lin, Fake, et al.
Published: (2024)
by: Lin, Fake, et al.
Published: (2024)
FineRec:Exploring Fine-grained Sequential Recommendation
by: Zhang, Xiaokun, et al.
Published: (2024)
by: Zhang, Xiaokun, et al.
Published: (2024)
Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
by: Yang, Wei, et al.
Published: (2025)
by: Yang, Wei, et al.
Published: (2025)
DenoiseRank: Learning to Rank by Diffusion Models
by: Wang, Ying, et al.
Published: (2026)
by: Wang, Ying, et al.
Published: (2026)
Enhancing ID-based Recommendation with Large Language Models
by: Chen, Lei, et al.
Published: (2024)
by: Chen, Lei, et al.
Published: (2024)
Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
by: Su, Jiajie, et al.
Published: (2025)
by: Su, Jiajie, et al.
Published: (2025)
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
by: Li, Weixin, et al.
Published: (2024)
by: Li, Weixin, et al.
Published: (2024)
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
by: Wan, Zhizhong, et al.
Published: (2024)
by: Wan, Zhizhong, et al.
Published: (2024)
Similar Items
-
Denoised Recommendation Model with Collaborative Signal Decoupling
by: Li, Zefeng, et al.
Published: (2025) -
Towards Principled Learning for Re-ranking in Recommender Systems
by: Li, Qunwei, et al.
Published: (2025) -
M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
by: He, Chuan, et al.
Published: (2025) -
SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation
by: Shen, Kaiming, et al.
Published: (2024) -
LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
by: Wang, Bohao, et al.
Published: (2024)