Copertina

Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yan, Mingshi, Cheng, Zhiyong, Han, Yahong, Wang, Meng
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

Behavior Pattern Mining-based Multi-Behavior Recommendation
di: Li, Haojie, et al.
Pubblicazione: (2024)

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

Multi-Item-Query Attention for Stable Sequential Recommendation
di: Xu, Mingshi, et al.
Pubblicazione: (2025)

Factorized Latent Reasoning for LLM-based Recommendation
di: Gao, Tianqi, et al.
Pubblicazione: (2026)

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders
di: Huang, Zhirong, et al.
Pubblicazione: (2024)

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

Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendation
di: Liu, Mingrui, et al.
Pubblicazione: (2026)

Adaptive Conditional Expert Selection Network for Multi-domain Recommendation
di: Dong, Kuiyao, et al.
Pubblicazione: (2024)

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

SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity
di: Zhang, Yukun, et al.
Pubblicazione: (2026)

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
di: Liu, Mingrui, et al.
Pubblicazione: (2024)

Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
di: Han, Yongqiang, et al.
Pubblicazione: (2025)

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

Multi-Behavior Generative Recommendation
di: Liu, Zihan, et al.
Pubblicazione: (2024)

HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation
di: Yin, Yabo, et al.
Pubblicazione: (2024)

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

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

Generative Sequential Recommendation via Hierarchical Behavior Modeling
di: Wang, Zhefan, et al.
Pubblicazione: (2025)

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

Federated Semantic Learning for Privacy-preserving Cross-domain Recommendation
di: Lu, Ziang, et al.
Pubblicazione: (2025)

DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation
di: Cheng, Jiawei, et al.
Pubblicazione: (2026)

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

User Long-Term Multi-Interest Retrieval Model for Recommendation
di: Meng, Yue, et al.
Pubblicazione: (2025)

Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation
di: Lin, Zhutian, et al.
Pubblicazione: (2024)

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

LARES: Latent Reasoning for Sequential Recommendation
di: Liu, Enze, et al.
Pubblicazione: (2025)

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

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

Mitigating Dual Latent Confounding Biases in Recommender Systems
di: Deng, Jianfeng, et al.
Pubblicazione: (2024)

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

PSLF: A PID Controller-incorporated Second-order Latent Factor Analysis Model for Recommender System
di: Wang, Jialiang, et al.
Pubblicazione: (2024)

Stratified Expert Cloning for Retention-Aware Recommendation at Scale
di: Lin, Chengzhi, et al.
Pubblicazione: (2025)

Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
di: Li, Jingzhi, et al.
Pubblicazione: (2026)

Mixture-of-Experts Knowledge Graph Retrieval-Augmented Generation for Multi-Agent LLM-based Recommendation
di: Wang, Shijie, et al.
Pubblicazione: (2026)

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

Sequential Recommendation with Latent Relations based on Large Language Model
di: Yang, Shenghao, et al.
Pubblicazione: (2024)