Image de couverture de livre

Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cui, Xiaoxi, Lu, Weihai, Tong, Yu, Li, Yiheng, Zhao, Zhejun
Format:	Preprint
Publié:	2025
Sujets:	Information Retrieval Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
par: Cui, Xiaoxi, et autres
Publié: (2025)

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
par: Wang, Hao, et autres
Publié: (2024)

Dual Conditional Diffusion Models for Sequential Recommendation
par: Huang, Hongtao, et autres
Publié: (2024)

MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
par: Guo, Chengcheng, et autres
Publié: (2025)

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
par: Su, Jiajie, et autres
Publié: (2024)

MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
par: Guo, Xu, et autres
Publié: (2025)

Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
par: Guo, Xu, et autres
Publié: (2025)

Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
par: Zhang, Shengzhe, et autres
Publié: (2025)

Denoising Long- and Short-term Interests for Sequential Recommendation
par: Zhang, Xinyu, et autres
Publié: (2024)

Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
par: Wu, Tongzhou, et autres
Publié: (2025)

DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
par: Tian, Jiahao, et autres
Publié: (2025)

Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
par: Han, Yongqiang, et autres
Publié: (2025)

Joint Behavior-guided and Modality-coherence Conditional Graph Diffusion Denoising for Multi Modal Recommendation
par: Pan, Xiangchen, et autres
Publié: (2026)

User-Aware Conditional Generative Total Correlation Learning for Multi-Modal Recommendation
par: Du, Jing, et autres
Publié: (2026)

Causal Inspired Multi Modal Recommendation
par: Yang, Jie, et autres
Publié: (2025)

Slow Thinking for Sequential Recommendation
par: Zhang, Junjie, et autres
Publié: (2025)

BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation
par: Li, Weixin, et autres
Publié: (2024)

TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds
par: Zhou, Yifeng, et autres
Publié: (2026)

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
par: Li, Lei, et autres
Publié: (2024)

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
par: Wang, Bohao, et autres
Publié: (2024)

MDE: Modality Discrimination Enhancement for Multi-modal Recommendation
par: Zhou, Hang, et autres
Publié: (2025)

Multi-Behavior Recommender Systems: A Survey
par: Kim, Kyungho, et autres
Publié: (2025)

Tricolore: Multi-Behavior User Profiling for Enhanced Candidate Generation in Recommender Systems
par: Zhou, Xiao, et autres
Publié: (2025)

M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
par: He, Chuan, et autres
Publié: (2025)

DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation
par: Cheng, Jiawei, et autres
Publié: (2026)

TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation
par: Wang, Qingzhuo, et autres
Publié: (2026)

Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework
par: Xi, Dongbo, et autres
Publié: (2024)

AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
par: Zhang, Tong
Publié: (2025)

VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation
par: Kim, Junyoung, et autres
Publié: (2026)

SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation
par: Shen, Kaiming, et autres
Publié: (2024)

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
par: Zhang, Sheng, et autres
Publié: (2024)

Graph Contrastive Learning on Multi-label Classification for Recommendations
par: Wu, Jiayang, et autres
Publié: (2025)

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
par: Shan, Rong, et autres
Publié: (2025)

Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation
par: Lan, Yuqin, et autres
Publié: (2025)

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
par: Ma, Luyi, et autres
Publié: (2024)

Revisiting Self-attention for Cross-domain Sequential Recommendation
par: Ju, Clark Mingxuan, et autres
Publié: (2025)

Denoising Time Cycle Modeling for Recommendation
par: Xie, Sicong, et autres
Publié: (2024)

ExplainRec: Towards Explainable Multi-Modal Zero-Shot Recommendation with Preference Attribution and Large Language Models
par: Ma, Bo, et autres
Publié: (2025)

Denoised Recommendation Model with Collaborative Signal Decoupling
par: Li, Zefeng, et autres
Publié: (2025)

DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation
par: Zhang, Haoyi, et autres
Publié: (2024)