R3-VAE: Reference Vector-Guided Rating Residual Quantization VAE for Generative Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wan, Qiang, Yang, Ze, Yang, Dawei, Fan, Ying, Yan, Xin, Liu, Siyang, Liu, Yicong, Zhang, Chenwei, Xu, Wei, Qin, Jiahao, Wang, Ke
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
by: Guo, Zhiqiang, et al.
Published: (2024)

M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
by: He, Chuan, et al.
Published: (2025)

i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation
by: Ning, Xuying, et al.
Published: (2024)

Feature-Indexed Federated Recommendation with Residual-Quantized Codebooks
by: Han, Mingzhe, et al.
Published: (2026)

Democratizing News Recommenders: Modeling Multiple Perspectives for News Candidate Generation with VQ-VAE
by: Hardy, et al.
Published: (2025)

HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs
by: Fang, Dengzhao, et al.
Published: (2025)

Multi-modal clothing recommendation model based on large model and VAE enhancement
by: Huang, Bingjie, et al.
Published: (2024)

Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
by: Liu, Qijiong, et al.
Published: (2023)

Vector Quantization for Recommender Systems: A Review and Outlook
by: Liu, Qijiong, et al.
Published: (2024)

Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
by: Wang, Shijia, et al.
Published: (2025)

Decoupled Residual Quantization for Robust Semantic IDs in Recommendation
by: Wang, Xuesi, et al.
Published: (2026)

Transferable Sequential Recommendation via Vector Quantized Meta Learning
by: Yue, Zhenrui, et al.
Published: (2024)

Dataset Condensation for Recommendation
by: Wu, Jiahao, et al.
Published: (2023)

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever
by: Bin, Xingyan, et al.
Published: (2025)

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation
by: Mao, Wenyu, et al.
Published: (2025)

Data Imputation using Large Language Model to Accelerate Recommendation System
by: Ding, Zhicheng, et al.
Published: (2024)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
by: Li, Xiaodong, et al.
Published: (2025)

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation
by: Li, Yicong, et al.
Published: (2024)

TF-DCon: Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation
by: Wu, Jiahao, et al.
Published: (2023)

GemiRec: Interest Quantization and Generation for Multi-Interest Recommendation
by: Wu, Zhibo, et al.
Published: (2025)

CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation
by: Wei, Yibiao, et al.
Published: (2026)

RQ-GMM: Residual Quantized Gaussian Mixture Model for Multimodal Semantic Discretization in CTR Prediction
by: Tong, Ziye, et al.
Published: (2026)

Linear-Time Graph Neural Networks for Scalable Recommendations
by: Zhang, Jiahao, et al.
Published: (2024)

DQRM: Deep Quantized Recommendation Models
by: Zhou, Yang, et al.
Published: (2024)

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
by: Wan, Zhongwei, et al.
Published: (2022)

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

CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
by: Zhu, Jieming, et al.
Published: (2024)

Automatic Self-supervised Learning for Social Recommendations
by: He, Xin, et al.
Published: (2024)

Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction
by: Wei, Zhuoxing, et al.
Published: (2025)

SRLF: An Agent-Driven Set-Wise Reflective Learning Framework for Sequential Recommendation
by: Wang, Jiahao, et al.
Published: (2025)

Time Matters: Enhancing Sequential Recommendations with Time-Guided Graph Neural ODEs
by: Fu, Haoyan, et al.
Published: (2025)

Democratic Recommendation with User and Item Representatives Produced by Graph Condensation
by: Liang, Jiahao, et al.
Published: (2025)

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System
by: Yang, Xin, et al.
Published: (2024)

The 2nd Workshop on Recommendation with Generative Models
by: Wang, Wenjie, et al.
Published: (2024)

R3-REC: Reasoning-Driven Recommendation via Retrieval-Augmented LLMs over Multi-Granular Interest Signals
by: Miao, Yuchen, et al.
Published: (2026)

Semantics-Aware Denoising: A PLM-Guided Sample Reweighting Strategy for Robust Recommendation
by: Yang, Xikai, et al.
Published: (2026)

Collaborative Semantic Alignment in Recommendation Systems
by: Wang, Chen, et al.
Published: (2023)

FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems
by: Zhang, Tianqi, et al.
Published: (2026)

VP-VAE: Rethinking Vector Quantization via Adaptive Vector Perturbation
by: Zhai, Linwei, et al.
Published: (2026)

Identify Then Recommend: Towards Unsupervised Group Recommendation
by: Liu, Yue, et al.
Published: (2024)