Masked Diffusion Generative Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Mu, Lingyu, Deng, Hao, Xing, Haibo, Hu, Jinxin, Zhang, Yu, Zeng, Xiaoyi, Zhang, Jing |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Reflect and Correct: Towards Better Decoding Trajectories for Large-Scale Generative Recommendation
by: Xing, Haibo, et al.
Published: (2026)
by: Xing, Haibo, et al.
Published: (2026)
Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026)
by: Hu, Jinxin, et al.
Published: (2026)
AgenticRS-Architecture: System Design for Agentic Recommender Systems
by: Zhang, Hao, et al.
Published: (2026)
by: Zhang, Hao, et al.
Published: (2026)
LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
by: Mu, Lingyu, et al.
Published: (2026)
by: Mu, Lingyu, et al.
Published: (2026)
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
by: Xing, Haibo, et al.
Published: (2025)
by: Xing, Haibo, et al.
Published: (2025)
Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation
by: Mu, Lingyu, et al.
Published: (2025)
by: Mu, Lingyu, et al.
Published: (2025)
RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
by: Huang, Yulei, et al.
Published: (2026)
by: Huang, Yulei, et al.
Published: (2026)
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
by: Deng, Hao, et al.
Published: (2025)
by: Deng, Hao, et al.
Published: (2025)
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
by: Xing, Haibo, et al.
Published: (2025)
by: Xing, Haibo, et al.
Published: (2025)
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
by: Deng, Hao, et al.
Published: (2025)
by: Deng, Hao, et al.
Published: (2025)
STORE: Semantic Tokenization, Orthogonal Rotation and Efficient Attention for Scaling Up Ranking Models
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
Taming the Long Tail: Denoising Collaborative Information for Robust Semantic ID Generation
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction
by: Song, Xin, et al.
Published: (2025)
by: Song, Xin, et al.
Published: (2025)
How Reliable Are Semantic-ID Tokenizer Comparisons in Generative Recommendation?
by: Zhang, Qian, et al.
Published: (2026)
by: Zhang, Qian, et al.
Published: (2026)
Bridging Sequential and Contextual Features with a Dual-View of Fine-grained Core-Behaviors and Global Interest-Distribution
by: Xu, Yi, et al.
Published: (2026)
by: Xu, Yi, et al.
Published: (2026)
Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features
by: Xu, Yi, et al.
Published: (2026)
by: Xu, Yi, et al.
Published: (2026)
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
Masked Diffusion for Generative Recommendation
by: Shah, Kulin, et al.
Published: (2025)
by: Shah, Kulin, et al.
Published: (2025)
From Clues to Generation: Language-Guided Conditional Diffusion for Cross-Domain Recommendation
by: Lu, Ziang, et al.
Published: (2026)
by: Lu, Ziang, et al.
Published: (2026)
Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration
by: Zhang, Moyu, et al.
Published: (2026)
by: Zhang, Moyu, et al.
Published: (2026)
Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
by: Sang, Lei, et al.
Published: (2025)
by: Sang, Lei, et al.
Published: (2025)
Scaling Transformers for Discriminative Recommendation via Generative Pretraining
by: Wang, Chunqi, et al.
Published: (2025)
by: Wang, Chunqi, et al.
Published: (2025)
Beyond Dense Connectivity: Explicit Sparsity for Scalable Recommendation
by: Yu, Yantao, et al.
Published: (2026)
by: Yu, Yantao, et al.
Published: (2026)
Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
GateSID: Adaptive Gating for Semantic-Collaborative Alignment in Cold-Start Recommendation
by: Zhu, Hai, et al.
Published: (2026)
by: Zhu, Hai, et al.
Published: (2026)
Dual Adversarial Perturbators Generate rich Views for Recommendation
by: Zhang, Lijun, et al.
Published: (2024)
by: Zhang, Lijun, et al.
Published: (2024)
CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation
by: Zhang, Qian, et al.
Published: (2026)
by: Zhang, Qian, et al.
Published: (2026)
Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation
by: Hu, Guoqing, et al.
Published: (2024)
by: Hu, Guoqing, et al.
Published: (2024)
Diffusion Models for Generative Outfit Recommendation
by: Xu, Yiyan, et al.
Published: (2024)
by: Xu, Yiyan, et al.
Published: (2024)
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations
by: Li, Jin, et al.
Published: (2025)
by: Li, Jin, et al.
Published: (2025)
Snippet-based Conversational Recommender System
by: Sun, Haibo, et al.
Published: (2024)
by: Sun, Haibo, et al.
Published: (2024)
SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
by: Yu, Yang, et al.
Published: (2026)
by: Yu, Yang, et al.
Published: (2026)
Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
by: Zhang, Moyu, et al.
Published: (2024)
by: Zhang, Moyu, et al.
Published: (2024)
SORT: A Systematically Optimized Ranking Transformer for Industrial-scale Recommenders
by: Wang, Chunqi, et al.
Published: (2026)
by: Wang, Chunqi, et al.
Published: (2026)
Preference Diffusion for Recommendation
by: Liu, Shuo, et al.
Published: (2024)
by: Liu, Shuo, et al.
Published: (2024)
Hesitation and Tolerance in Recommender Systems
by: Zou, Kuan, et al.
Published: (2024)
by: Zou, Kuan, et al.
Published: (2024)
Similar Items
-
Learning to Reflect and Correct: Towards Better Decoding Trajectories for Large-Scale Generative Recommendation
by: Xing, Haibo, et al.
Published: (2026) -
Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026) -
AgenticRS-Architecture: System Design for Agentic Recommender Systems
by: Zhang, Hao, et al.
Published: (2026) -
LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
by: Mu, Lingyu, et al.
Published: (2026) -
REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems
by: Xing, Haibo, et al.
Published: (2025)