Image de couverture de livre

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xie, Wenjia, Zhou, Rui, Wang, Hao, Shen, Tingjia, Chen, Enhong
Format:	Preprint
Publié:	2024
Sujets:	Information Retrieval Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation
par: Shen, Tingjia, et autres
Publié: (2024)

Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap
par: Mallapragada, Srivatsa, et autres
Publié: (2025)

Bridging Conversational and Collaborative Signals for Conversational Recommendation
par: Rabiah, Ahmad Bin, et autres
Publié: (2024)

Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation
par: Wang, Leyao, et autres
Publié: (2025)

DiffGRM: Diffusion-based Generative Recommendation Model
par: Liu, Zhao, et autres
Publié: (2025)

A Survey on Large Language Models for Recommendation
par: Wu, Likang, et autres
Publié: (2023)

Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations
par: Klenitskiy, Anton, et autres
Publié: (2024)

Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control
par: Klenitskiy, Anton, et autres
Publié: (2025)

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation
par: Liu, Qidong, et autres
Publié: (2025)

PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation
par: Fang, Dengzhao, et autres
Publié: (2026)

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
par: Liu, Guangyi, et autres
Publié: (2024)

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
par: Färber, Michael, et autres
Publié: (2025)

Multi-Item-Query Attention for Stable Sequential Recommendation
par: Xu, Mingshi, et autres
Publié: (2025)

Robust Reinforcement Learning Objectives for Sequential Recommender Systems
par: Mozifian, Melissa, et autres
Publié: (2023)

Simpson's Paradox in Behavioral Curves: How Aggregation Distorts Parametric Models of User Dynamics
par: Zhou, Chao
Publié: (2026)

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
par: Liu, Tianqi, et autres
Publié: (2025)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
par: Li, Li, et autres
Publié: (2024)

Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
par: Xu, Luyue, et autres
Publié: (2024)

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

End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
par: Baikalov, Vladimir, et autres
Publié: (2024)

TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
par: Shin, Yehjin, et autres
Publié: (2025)

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
par: Shin, Yehjin, et autres
Publié: (2023)

Position-Aware Sequential Attention for Accurate Next Item Recommendations
par: Nabiev, Timur, et autres
Publié: (2026)

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation
par: Hadad, Guy, et autres
Publié: (2025)

CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
par: Zarch, Hossein Entezari, et autres
Publié: (2024)

Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
par: Pang, Linsey, et autres
Publié: (2024)

Hgformer: Hyperbolic Graph Transformer for Recommendation
par: Yang, Xin, et autres
Publié: (2024)

Bridging Stepwise Lab-Informed Pretraining and Knowledge-Guided Learning for Diagnostic Reasoning
par: Hu, Pengfei, et autres
Publié: (2024)

Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
par: Hu, Zheng, et autres
Publié: (2024)

Modeling User Exploration Saturation: When Recommender Systems Should Stop Pushing Novelty
par: Ayiku, Enock O., et autres
Publié: (2026)

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
par: Han, Xiao, et autres
Publié: (2024)

Autoregressive Ranking: Bridging the Gap Between Dual and Cross Encoders
par: Rozonoyer, Benjamin, et autres
Publié: (2026)

DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
par: Jiang, Zhenhao, et autres
Publié: (2024)

DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
par: Liu, Sicen, et autres
Publié: (2023)

Sequential LLM Framework for Fashion Recommendation
par: Liu, Han, et autres
Publié: (2024)

Heterogeneous Influence Maximization in User Recommendation
par: Hou, Hongru, et autres
Publié: (2025)

Learning Unified User Quantized Tokenizers for User Representation
par: He, Chuan, et autres
Publié: (2025)

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
par: Yin, Mingjia, et autres
Publié: (2024)

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization
par: Pembek, Anton, et autres
Publié: (2025)

CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
par: Sun, Yi, et autres
Publié: (2024)