Imagen de Portada

Behavior Pattern Mining-based Multi-Behavior Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Haojie, Cheng, Zhiyong, Yu, Xu, Liu, Jinhuan, Liu, Guanfeng, Du, Junwei
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
por: Yan, Mingshi, et al.
Publicado: (2024)

Intent Propagation Contrastive Collaborative Filtering
por: Li, Haojie, et al.
Publicado: (2026)

User Invariant Preference Learning for Multi-Behavior Recommendation
por: Yan, Mingshi, et al.
Publicado: (2025)

Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
por: Cheng, Zhiyong, et al.
Publicado: (2024)

Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation
por: Yan, Mingshi, et al.
Publicado: (2026)

RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors
por: Cai, Miaomiao, et al.
Publicado: (2026)

Amplify Graph Learning for Recommendation via Sparsity Completion
por: Yuan, Peng, et al.
Publicado: (2024)

DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation
por: Zhang, Haoyi, et al.
Publicado: (2024)

Multi-Behavior Generative Recommendation
por: Liu, Zihan, et al.
Publicado: (2024)

Dynamic Spectral Denoising with Global-Context Attention for Multi-Behavior Recommendation
por: Cai, Miaomiao, et al.
Publicado: (2026)

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

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation
por: Su, Jiajie, et al.
Publicado: (2024)

Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation
por: Zhang, Hengyu, et al.
Publicado: (2025)

Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation
por: Xu, Huayang, et al.
Publicado: (2025)

A Survey on Multi-Behavior Sequential Recommendation
por: Chen, Xiaoqing, et al.
Publicado: (2023)

BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation
por: Li, Yupeng, et al.
Publicado: (2025)

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems
por: Zhang, Hao, et al.
Publicado: (2023)

Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation
por: Ko, Geonwoo, et al.
Publicado: (2025)

Boundary-Aware Multi-Behavior Dynamic Graph Transformer for Sequential Recommendation
por: Su, Jingsong, et al.
Publicado: (2026)

Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation
por: He, Chuan, et al.
Publicado: (2024)

Towards Multi-Behavior Multi-Task Recommendation via Behavior-informed Graph Embedding Learning
por: Lai, Wenhao, et al.
Publicado: (2026)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
por: Han, Yongqiang, et al.
Publicado: (2024)

Multi-agents based User Values Mining for Recommendation
por: Chen, Lijian, et al.
Publicado: (2025)

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
por: Xu, Wei, et al.
Publicado: (2025)

Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
por: Liang, Shunpan, et al.
Publicado: (2024)

Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
por: Liu, Chengkai, et al.
Publicado: (2024)

HiFIRec Towards High-Frequency yet Low-Intention Behaviors for Multi-Behavior Recommendation
por: Luo, Ruiqi, et al.
Publicado: (2025)

Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent
por: Xu, Yi, et al.
Publicado: (2025)

SaviorRec: Semantic-Behavior Alignment for Cold-Start Recommendation
por: Yao, Yining, et al.
Publicado: (2025)

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai
por: Feng, Zhichao, et al.
Publicado: (2024)

Towards Popularity-Aware Recommendation: A Multi-Behavior Enhanced Framework with Orthogonality Constraint
por: Han, Yishan, et al.
Publicado: (2024)

From Agnostic to Specific: Latent Preference Diffusion for Multi-Behavior Sequential Recommendation
por: Yang, Ruochen, et al.
Publicado: (2026)

Behavior-Guided Candidate Calibration for Multimodal Recommendation
por: Li, Zesheng, et al.
Publicado: (2026)

Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
por: Qin, Zhida, et al.
Publicado: (2026)

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation
por: Guo, Lei, et al.
Publicado: (2026)

Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
por: Cui, Xiaoxi, et al.
Publicado: (2025)

SWGCN: Synergy Weighted Graph Convolutional Network for Multi-Behavior Recommendation
por: Chen, Fangda, et al.
Publicado: (2026)

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
por: Wang, Hao, et al.
Publicado: (2024)

Multi-Behavior Recommender Systems: A Survey
por: Kim, Kyungho, et al.
Publicado: (2025)

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