This is a paper list for Multi-Behavior Recommendation，which also contains some related research areas.
Keywords: Recommend System, Multi-Behavior Recommendation, Multi-task Learning
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arXiv (2025)HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation. [PDF], [Code] -
KDD (2025)Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation [Multi-Behavior + CL].[PDF], [Code] -
WWW (2025)EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration [LLM + CL][PDF] -
arXiv (2025)Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation**[LLM]** [PDF] -
ICLR (2024)SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems. [PDF] [Code] -
SIGIR(2024)Behavior Pattern Mining-based Multi-Behavior Recommendation. [Pattern Mining] [PDF] [code] -
SIGIR(2024)UniSAR: Modeling User Transition Behaviors between Search and Recommendation. [PDF] [Code] -
SIGIR(2024)Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation. [GCN] [PDF] [code] -
SIGIR(2024)A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. [PDF] [code] -
SIGIR (2024)Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems. [PDF] -
SIGIR (2024)Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. [PDF] -
WSDM(2024)Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation. [PDF] -
WSDM(2024)User Behavior Enriched Temporal Knowledge Graph for Sequential Recommendation. [PDF] -
WWW(2024)Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. [PDF] [Code] -
WWW(2024)ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.[DA] [PDF] [Code]] -
www (2024)Recommender Transformers with Behavior Pathways. [PDF] -
CIKM (2024)Decoupled Behavior-based Contrastive Recommendation. [Graph + CL] [PDF] [Code] -
TKDE (2024)Multi-behavior Hypergraph Contrastive Learning for Session-based Recommendation. [Graph + CL] [PDF] -
TKDE (2024)Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment. [CL] [PDF] -
TOIS (2024)Contrastive Clustering Learning for Multi-Behavior Recommendation. [PDF] [Code] -
KDD (2024)Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.[PDF] -
KDD (2024)Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. [PDF] -
KDD (2024)EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. [PDF] [Code] -
arXiv (2024)Intent-aware Recommendation via Disentangled Graph Contrastive Learning [PDF] -
arXiv (2024)Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation. [Graph + CL] [PDF] [Code] -
FCS(2023)BGNN_ Behavior-aware graph neural network for heterogeneous session-based recommendation. [GNN] [PDF] -
WSDM(2023)Knowledge Enhancement for Contrastive Multi-Behavior Recommendation. [Contrastive Learning] [PDF] -
WWW(2023)Compressed Interaction Graph based Framework for Multi-behavior Recommendation. [GCN] [PDF] [code] -
WWW(2023)Denoising and Prompt-Tuning for Multi-Behavior Recommendation. [GNN] [PDF] [code] -
WWW(2023)Multi-Behavior Recommendation with Cascading Graph Convolution Networks. [GCN] [PDF] [code] -
TKDE(2023)Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. [GNN+Transformer] [PDF] [code] -
ArXiv(2023)MB-HGCN A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation. [GCN] [PDF] [code] -
ICDM(2023)Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement. [Contrastive Learning] -
ICDM(2023)Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. [GNN] -
SIGKDD(2023)Hierarchical Projection Enhanced Multi-behavior Recommendation. [PDF] [code] -
SIGIR(2023)Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. [PDF] [code] -
SIGIR(2023)Multi-behavior Self-supervised Learning for Recommendation. [GNN] [PDF] [code] -
CIKM(2023)Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation. [GCN] [PDF] [code] -
TOIS(2023)Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation. [CF+GCN] [PDF] [code] -
ArXiv(2023)A Survey on Multi-Behavior Sequential Recommendation. [PDF] -
AAAI(2023)Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. [RNN] [PDF] -
RecSys(2023)Multi-Relational Contrastive Learning for Recommendation. [CL] [PDF] [code] -
DASFAA(2022)Multi-view Multi-behavior Contrastive Learning in Recommendation. [CL] [PDF] [code] -
WSDM(2022)Contrastive Meta Learning with Behavior Multiplicity for Recommendation. [CF+GNN] [PDF] [code] -
DASFAA(2022)Neural Multi-Task Recommendation from Multi-Behavior Data. [Multi-Task] [PDF] [code] -
DASFAA(2022)Multi-behavior Recommendation with Two-Level Graph Attentional Networks. [Transformer] -
SIGIR(2022)Multi-Behavior Sequential Transformer Recommender. [Transformer] [PDF] [code] -
KDD(2022)Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. [Transformer] [PDF] [code] -
ArXiv(2022)Causal Intervention for Fairness in Multi-behavior Recommendation. [PDF] -
TNNLS(2022)Multi-Behavior Graph Neural Networks for Recommender System. [GNN] [PDF] [code] -
TKDD(2022)MBN: Towards Multi-Behavior Sequence Modeling for Next Basket Recommendation. [code] -
ICDE(2021)Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. [GNN] [PDF] [code] -
GeoInformatica(2021)Graph neural network based model for multi-behavior session-based recommendation. [GNN] [PDF] [code] -
SIGIR(2021)Graph Meta Network for Multi-Behavior Recommendation. [GNN] [PDF] [code] -
ArXiv(2021)Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. [Transformer] [PDF] [code] -
ICDM(2021)Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. [GCL] [PDF] [code] -
ICDM(2021)Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation. [GCF] [PDF] [code] -
TKDE(2021)Learning to Recommend With Multiple Cascading Behaviors. [CF] [PDF] [code] -
ICDE(2021)Sequential Recommendation on Dynamic Heterogeneous Information Network. [GNN] -
AAAI(2021)Graph Heterogeneous Multi-Relational Recommendation. [GNN] [code] -
SIGIR(2020)Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation. [RNN+GNN+MLP] [PDF] [code] -
SIGIR(2020)Multi-behavior Recommendation with Graph Convolutional Networks. [GCN] [PDF] -
SIGIR(2020)Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. [Transformer] [PDF] [code] -
CIKM(2020)Multiplex Graph Neural Networks for Multi-behavior Recommendation. [GNN] [PDF] [code] -
ICDE(2019)Neural Multi-Task Recommendation from Multi-Behavior Data. [NCF] [PDF] [code] -
TKDE(2016)A General Recommendation Model for Heterogeneous Networks. [GNN]