Image de couverture de livre

RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cai, Miaomiao, Zhang, Zhijie, Fang, Junfeng, Cheng, Zhiyong, Wang, Xiang, Wang, Meng
Format:	Preprint
Publié:	2026
Sujets:	Information Retrieval Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Dynamic Spectral Denoising with Global-Context Attention for Multi-Behavior Recommendation
par: Cai, Miaomiao, et autres
Publié: (2026)

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

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

Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
par: Liang, Shunpan, et autres
Publié: (2024)

Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
par: Cheng, Zhiyong, et autres
Publié: (2024)

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
par: Ge, Chendi, et autres
Publié: (2025)

Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
par: Xu, Wei, et autres
Publié: (2025)

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

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

SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems
par: Corecco, Nathan, et autres
Publié: (2024)

Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks
par: Innerebner, Kevin, et autres
Publié: (2026)

A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions
par: Chhetri, Vinaik, et autres
Publié: (2025)

Make It Long, Keep It Fast: End-to-End 10K Long User Behavior Sequence Modeling for Billion-Scale Douyin Recommendation
par: Guan, Lin, et autres
Publié: (2025)

Modeling Behavioral Intensity and Transitions for Generative Recommendation
par: Yang, Wenxuan, et autres
Publié: (2026)

Efficient and Robust Regularized Federated Recommendation
par: Liu, Langming, et autres
Publié: (2024)

From Data to Behavior: Predicting Unintended Model Behaviors Before Training
par: Wang, Mengru, et autres
Publié: (2026)

From Prompting to Alignment: A Generative Framework for Query Recommendation
par: Min, Erxue, et autres
Publié: (2025)

Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
par: Long, Junfeng, et autres
Publié: (2024)

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

ACT: Automated Constraint Targeting for Multi-Objective Recommender Systems
par: Chang, Daryl, et autres
Publié: (2025)

Parallel and Multi-Stage Knowledge Graph Retrieval for Behaviorally Aligned Financial Asset Recommendations
par: Spadea, Fernando, et autres
Publié: (2025)

Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
par: Liu, Mingrui, et autres
Publié: (2024)

Robust Explainable Recommendation
par: Vijayaraghavan, Sairamvinay, et autres
Publié: (2024)

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
par: Tan, Juntao, et autres
Publié: (2023)

Adaptive Conditional Expert Selection Network for Multi-domain Recommendation
par: Dong, Kuiyao, et autres
Publié: (2024)

Multi-view Attention Fusion of Heterogeneous Hypergraph with Dynamic Behavioral Profiling for Personalized Learning Resource Recommendation
par: Xie, Tao, et autres
Publié: (2026)

DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation
par: Bi, Yaowen, et autres
Publié: (2024)

G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation
par: Chen, Boyu, et autres
Publié: (2025)

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
par: Bao, Shilong, et autres
Publié: (2024)

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation
par: Huang, Heyuan, et autres
Publié: (2024)

Graph Augmentation for Recommendation
par: Zhang, Qianru, et autres
Publié: (2024)

STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
par: Su, Liangcai, et autres
Publié: (2023)

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

Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
par: Liu, Langming, et autres
Publié: (2025)

Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias
par: Cai, Miaomiao, et autres
Publié: (2025)

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
par: Xu, Cong, et autres
Publié: (2023)

EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
par: Tian, Zhen, et autres
Publié: (2024)

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

PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
par: Wang, Xin, et autres
Publié: (2025)

MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation
par: Xu, Yi, et autres
Publié: (2025)