Cover Image

Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Wenjia, Wang, Hao, Zhang, Luankang, Zhou, Rui, Lian, Defu, Chen, Enhong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
by: Xie, Wenjia, et al.
Published: (2024)

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

Is Softmax Loss All You Need? A Principled Analysis of Softmax-family Loss
by: Pu, Yuanhao, et al.
Published: (2026)

Beyond Surrogates: A Quantitative Analysis for Inter-Metric Relationships
by: Pu, Yuanhao, et al.
Published: (2026)

PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes
by: Zhou, Yiming, et al.
Published: (2026)

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

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
by: Li, Li, et al.
Published: (2024)

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

Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity
by: Zhu, Zhihao, et al.
Published: (2023)

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

Efficient Machine Unlearning via Influence Approximation
by: Liu, Jiawei, et al.
Published: (2025)

Composable Score-based Graph Diffusion Model for Multi-Conditional Molecular Generation
by: Qiao, Anjie, et al.
Published: (2025)

Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications
by: Chen, Jin, et al.
Published: (2025)

Generative Diffusion Models for Sequential Recommendations
by: Zolghadr, Sharare, et al.
Published: (2024)

NDCG-Consistent Softmax Approximation with Accelerated Convergence
by: Pu, Yuanhao, et al.
Published: (2025)

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

Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
by: Nisonoff, Hunter, et al.
Published: (2024)

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

Foundations and Frontiers of Graph Learning Theory
by: Huang, Yu, et al.
Published: (2024)

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

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation
by: Zhang, Jiaqing, et al.
Published: (2025)

Representation-Guided Discrete Molecular Graph Retrosynthesis
by: Huang, Jiahai, et al.
Published: (2026)

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
by: Yang, Hantao, et al.
Published: (2024)

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
by: Cheng, Mingyue, et al.
Published: (2024)

GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series Data
by: He, Cheng, et al.
Published: (2025)

Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
by: Fu, Yichao, et al.
Published: (2024)

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

Sequential Diffusion Language Models
by: Liu, Yangzhou, et al.
Published: (2025)

Steering Without Breaking: Mechanistically Informed Interventions for Discrete Diffusion Language Models
by: Zhou, Hanhan, et al.
Published: (2026)

EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation
by: Wang, Yuda, et al.
Published: (2024)

Demystifying Design Choices of Reinforcement Fine-tuning: A Batched Contextual Bandit Learning Perspective
by: Xie, Hong, et al.
Published: (2026)

Provably Convergent Subgraph-wise Sampling for Fast GNN Training
by: Wang, Jie, et al.
Published: (2023)

Break the ID-Language Barrier: An Adaption Framework for LLM-based Sequential Recommendation
by: Yu, Xiaohan, et al.
Published: (2024)

Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach
by: Chen, Jialei, et al.
Published: (2025)

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

Understanding the planning of LLM agents: A survey
by: Huang, Xu, et al.
Published: (2024)

PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
by: Li, Guilin, et al.
Published: (2025)

Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks
by: Innerebner, Kevin, et al.
Published: (2026)

Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective
by: Wang, Jiancheng, et al.
Published: (2026)

Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis
by: Zhang, Zikun, et al.
Published: (2024)