/Multi-Behavior-Recommendation-Papers

Multi-Behavior Recommendation-Papers

A Paper List for Multi-Behavior Recommendation

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

Paper List

  • 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]