Image de couverture de livre

BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Yupeng, Cheng, Mingyue, Luo, Yucong, Zhou, Yitong, Mao, Qingyang, Wang, Shijin
Format:	Preprint
Publié:	2025
Sujets:	Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
par: Qin, Qitao, et autres
Publié: (2024)

DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation
par: Qin, Qitao, et autres
Publié: (2025)

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
par: Zhang, Hao, et autres
Publié: (2023)

Multi-Behavior Generative Recommendation
par: Liu, Zihan, et autres
Publié: (2024)

A Survey on Multi-Behavior Sequential Recommendation
par: Chen, Xiaoqing, et autres
Publié: (2023)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
par: Li, Kaiyuan, et autres
Publié: (2025)

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
par: Luo, Yucong, et autres
Publié: (2024)

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

Learning Recommender Systems with Soft Target: A Decoupled Perspective
par: Zhang, Hao, et autres
Publié: (2024)

Preference Trajectory Modeling via Flow Matching for Sequential Recommendation
par: Li, Li, et autres
Publié: (2025)

Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
par: Yan, Mingshi, et autres
Publié: (2024)

Behavior Pattern Mining-based Multi-Behavior Recommendation
par: Li, Haojie, et autres
Publié: (2024)

Boundary-Aware Multi-Behavior Dynamic Graph Transformer for Sequential Recommendation
par: Su, Jingsong, et autres
Publié: (2026)

Unlocking the Potential of Large Language Models for Explainable Recommendations
par: Luo, Yucong, et autres
Publié: (2023)

Generative Sequential Recommendation via Hierarchical Behavior Modeling
par: Wang, Zhefan, et autres
Publié: (2025)

Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation
par: He, Chuan, et autres
Publié: (2024)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
par: Han, Yongqiang, et autres
Publié: (2024)

SeqUDA-Rec: Sequential User Behavior Enhanced Recommendation via Global Unsupervised Data Augmentation for Personalized Content Marketing
par: Luo, Ruihan, et autres
Publié: (2025)

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

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

Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation
par: Zhu, Xiaofei, et autres
Publié: (2024)

Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation
par: Yan, Mingshi, et autres
Publié: (2026)

Improving Sequential Recommender Systems with Online and In-store User Behavior
par: Ma, Luyi, et autres
Publié: (2024)

DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation
par: Kim, Hye-young, et autres
Publié: (2025)

Dual-disentangle Framework for Diversified Sequential Recommendation
par: Zhang, Haoran, et autres
Publié: (2025)

Data Augmentation for Sequential Recommendation: A Survey
par: Dang, Yizhou, et autres
Publié: (2024)

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness
par: Cheng, Mingyue, et autres
Publié: (2024)

Towards Transfer-Efficient Multi-modal Sequential Recommendation with State Space Duality
par: Fan, Hao, et autres
Publié: (2025)

Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
par: Qin, Zhida, et autres
Publié: (2026)

Leveraging Scene Context with Dual Networks for Sequential User Behavior Modeling
par: Chen, Xu, et autres
Publié: (2025)

Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
par: Liu, Chengkai, et autres
Publié: (2024)

Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
par: Cui, Xiaoxi, et autres
Publié: (2025)

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

HiFIRec Towards High-Frequency yet Low-Intention Behaviors for Multi-Behavior Recommendation
par: Luo, Ruiqi, et autres
Publié: (2025)

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
par: Jiang, Juyong, et autres
Publié: (2021)

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

User Invariant Preference Learning for Multi-Behavior Recommendation
par: Yan, Mingshi, et autres
Publié: (2025)

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

From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation
par: Yang, Ruochen, et autres
Publié: (2026)

Intent-Enhanced Data Augmentation for Sequential Recommendation
par: Chen, Shuai, et autres
Publié: (2024)