Cover Image

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Yongqiang, Wang, Hao, Wang, Kefan, Wu, Likang, Li, Zhi, Guo, Wei, Liu, Yong, Lian, Defu, Chen, Enhong
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
by: Wang, Hao, et al.
Published: (2024)

Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
by: Han, Yongqiang, et al.
Published: (2025)

Dataset Regeneration for Sequential Recommendation
by: Yin, Mingjia, et al.
Published: (2024)

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
by: Yin, Mingjia, et al.
Published: (2024)

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
by: Wang, Kefan, et al.
Published: (2025)

A Universal Framework for Compressing Embeddings in CTR Prediction
by: Wang, Kefan, et al.
Published: (2025)

FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation
by: Ye, Yufei, et al.
Published: (2026)

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation
by: Zhang, Luankang, et al.
Published: (2024)

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
by: Xu, Xiang, et al.
Published: (2024)

Learning Deep Tree-based Retriever for Efficient Recommendation: Theory and Method
by: Liu, Ze, et al.
Published: (2024)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
by: Wang, Hao, et al.
Published: (2025)

GOT4Rec: Graph of Thoughts for Sequential Recommendation
by: Long, Zewen, et al.
Published: (2024)

MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation
by: Tong, Junxiong, et al.
Published: (2024)

An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation
by: Wang, Jun, et al.
Published: (2024)

Optimizing Sequential Recommendation Models with Scaling Laws and Approximate Entropy
by: Shen, Tingjia, et al.
Published: (2024)

FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)

FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model
by: Ye, Yufei, et al.
Published: (2025)

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
by: Lei, Yuxuan, et al.
Published: (2023)

M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation
by: Zhang, Qianru, et al.
Published: (2025)

WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging
by: Hou, Min, et al.
Published: (2025)

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
by: Liu, Chengkai, et al.
Published: (2024)

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model
by: Zhang, Luankang, et al.
Published: (2025)

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

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation
by: Shen, Tingjia, et al.
Published: (2024)

SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation
by: Huang, Lei, et al.
Published: (2025)

Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control
by: Zhang, Luankang, et al.
Published: (2026)

TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential Recommendation
by: Yang, Zhaoqi, et al.
Published: (2024)

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)

RaSeRec: Retrieval-Augmented Sequential Recommendation
by: Zhao, Xinping, et al.
Published: (2024)

FuXi-$α$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
by: Ye, Yufei, et al.
Published: (2025)

RecFlow: An Industrial Full Flow Recommendation Dataset
by: Liu, Qi, et al.
Published: (2024)

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models
by: Li, Wuchao, et al.
Published: (2024)

On the Efficiency of Sequentially Aware Recommender Systems: Cotten4Rec
by: Veludandi, Shankar, et al.
Published: (2026)

Scaling New Frontiers: Insights into Large Recommendation Models
by: Guo, Wei, et al.
Published: (2024)

SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation
by: Qu, Haohao, et al.
Published: (2024)

An Efficient Attention Mechanism for Sequential Recommendation Tasks: HydraRec
by: Mushtaque, Uzma
Published: (2025)

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System
by: Yang, Xihong, et al.
Published: (2024)

FineRec:Exploring Fine-grained Sequential Recommendation
by: Zhang, Xiaokun, et al.
Published: (2024)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
by: Li, Xiaopeng, et al.
Published: (2024)

RecGPT: A Foundation Model for Sequential Recommendation
by: Jiang, Yangqin, et al.
Published: (2025)