Cover Image

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chi, Han, Qilong, Chen, Rui, Zhao, Xiangyu, Tang, Peng, Song, Hongtao
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

Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data
by: Zhao, Yuhan, et al.
Published: (2024)

Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025)

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking
by: Zhao, Yuhan, et al.
Published: (2024)

Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
by: Wang, Wei, et al.
Published: (2025)

Multi-Granularity Sequence Denoising with Weakly Supervised Signal for Sequential Recommendation
by: Li, Liang, et al.
Published: (2025)

Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation
by: Zhu, Xiaofei, et al.
Published: (2024)

Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation
by: Peng, Bo, et al.
Published: (2023)

ULMRec: User-centric Large Language Model for Sequential Recommendation
by: Shao, Minglai, et al.
Published: (2024)

AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
by: Zhang, Kaike, et al.
Published: (2025)

Reinforced Preference Optimization for Reasoning-Augmented Recommendations
by: Gao, Jingtong, et al.
Published: (2026)

Augmenting Sequential Recommendation with Balanced Relevance and Diversity
by: Dang, Yizhou, et al.
Published: (2024)

Flow Matching based Sequential Recommender Model
by: Liu, Feng, et al.
Published: (2025)

Adaptive Hardness Negative Sampling for Collaborative Filtering
by: Lai, Riwei, et al.
Published: (2024)

Data Augmentation for Sequential Recommendation: A Survey
by: Dang, Yizhou, et al.
Published: (2024)

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

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
by: Liu, Ziru, et al.
Published: (2024)

Denoising Long- and Short-term Interests for Sequential Recommendation
by: Zhang, Xinyu, et al.
Published: (2024)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
by: Liu, Langming, et al.
Published: (2024)

Rethinking Large Language Model Architectures for Sequential Recommendations
by: Wang, Hanbing, et al.
Published: (2024)

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
by: Zhao, Ziqi, et al.
Published: (2025)

Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2025)

Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation
by: Ye, Xiaoxin, et al.
Published: (2025)

Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
by: Dang, Yizhou, et al.
Published: (2026)

Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2026)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
by: Li, Kaiyuan, et al.
Published: (2025)

Revisiting Self-Attentive Sequential Recommendation
by: Huang, Zan
Published: (2025)

Parallel Latent Reasoning for Sequential Recommendation
by: Tang, Jiakai, et al.
Published: (2026)

Intent-Enhanced Data Augmentation for Sequential Recommendation
by: Chen, Shuai, et al.
Published: (2024)

RAGR: Review-Augmented Generative Recommendation
by: Zhang, Yingyi, et al.
Published: (2026)

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

Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model
by: Wang, Sirui, et al.
Published: (2024)

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
by: Wang, Bohao, et al.
Published: (2024)

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

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)

A Survey on Data-Centric Recommender Systems
by: Lai, Riwei, et al.
Published: (2024)

Semantic Gaussian Mixture Variational Autoencoder for Sequential Recommendation
by: Li, Beibei, et al.
Published: (2025)

Denoising Diffusion Recommender Model
by: Zhao, Jujia, et al.
Published: (2024)

Repeated Padding+: Simple yet Effective Data Augmentation Plugin for Sequential Recommendation
by: Dang, Yizhou, et al.
Published: (2024)

Precision Profile Pollution Attack on Sequential Recommenders via Influence Function
by: Du, Xiaoyu, et al.
Published: (2024)