| 2024 | End-to-end Learnable Clustering for Intent Learning in Recommendation (ELCRec) | NeurIPS | Link | Link |
| 2024 | Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating | WWW | Link | Link |
| 2024 | Revisiting Bundle Recommendation for Intent-aware Product Bundling | ACM TOIS | Link | Link |
| 2024 | MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation (MultiCBR) | ACM TOIS | Link | Link |
| 2024 | GroupMO: A Memory-augmented Meta-optimized Model for Group Recommendation (GroupMO) | WWW | Link | - |
| 2024 | Group Task Recommendation in Mobile Crowdsensing: An Attention-Based Neural Collaborative Approach | IEEE T-MC | Link | - |
| 2023 | Bundle Recommendation and Generation With Graph Neural Networks | IEEE T-KDE | Link | Link |
| 2023 | Hyperbolic Mutual Learning for Bundle Recommendation | DASFAA | Link | - |
| 2023 | Dual-Supervised Contrastive Learning for Bundle Recommendation (DSCBR) | IEEE T-CSS | Link | - |
| 2023 | Auto Graph Filtering for Bundle Recommendation | ICDM | Link | Link |
| 2023 | Data-Augmented Counterfactual Learning for Bundle Recommendation | DASFAA | Link | - |
| 2023 | Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation | arXiv | Link | - |
| 2023 | Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation (IGRec) | arXiv | Link | Link |
| 2023 | PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation (PEGA) | arXiv | Link | - |
| 2023 | Dependency Relationships-Enhanced Attentive Group Recommendation in HINs (DREAGR) | arXiv | Link | - |
| 2023 | Multi-view Graph Convolution for Participant Recommendation (MVPRec) | arXiv | Link | Link |
| 2023 | Overcoming Data Sparsity in Group Recommendation (CAGR) | IEEE <br/>T-KDE | Link | - |
| 2023 | Group Buying Recommendation Model Based on Multi-task Learning (MGBR) | ICDE | Link | Link |
| 2023 | Improving Group Recommendations using Personality, Dynamic Clustering and Multi-Agent MicroServices | RecSys | Link | - |
| 2023 | Constrained Social Community Recommendation (ComRec) | SIGKDD | Link | - |
| 2023 | Self-Supervised Group Graph Collaborative Filtering for Group Recommendation (SGGCF) | WSDM | Link | Link |
| 2023 | Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph (CFAG) | WSDM | Link | Link |
| 2023 | LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation (LINet) | WWW | Link | - |
| 2023 | ConsRec: Learning Consensus Behind Interactions for Group Recommendation (ConsRec) | WWW | Link | Link |
| 2023 | Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups (MMAN) | WWW | Link | - |
| 2023 | Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning (GTGS) | CIKM | Link | - |
| 2023 | Multi-Granularity Attention Model for Group Recommendation (MGAM) | CIKM | Link | - |
| 2023 | Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering (FINDING) | CIKM | Link | - |
| 2023 | Dual Intents Graph Modeling for User-centric Group Discovery (DiRec) | CIKM | Link | Link |
| 2023 | SQUIRREL: A framework for sequential group recommendations through reinforcement learning (SQUIRREL) | Information Systems | Link | - |
| 2023 | Member-Augmented Group Recommendation With Multi-Interest Framework and Knowledge Graph Embeddings | IEEE T-CSS | Link | - |
| 2023 | CHARM: A Group Recommender ChatBot (CHARM) | UMAP | Link | - |
| 2022 | Thinking inside The Box: Learning Hypercube Representations for Group Recommendation (CubeRec) | SIGIR | Link | Link |
| 2022 | Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations (DAUC) | SIGKDD | Link | - |
| 2022 | CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation (CrossCBR) | SIGKDD | Link | Link |
| 2022 | Exploiting Group Information for Personalized Recommendation with Graph Neural Networks (GGRM) | ACM TOIS | Link | - |
| 2022 | Interaction-aware Drug Package Recommendation via Policy Gradient (DPG) | ACM TOIS | Link | - |
| 2022 | Enumerating Fair Packages for Group Recommendations (FAPE) | WSDM | Link | Link |
| 2022 | GBERT: Pre-training User representations for Ephemeral Group Recommendation (GBERT) | CIKM | Link | - |
| 2022 | Multi-View Intent Disentangle Graph Networks for Bundle Recommendation (MIDGN) | AAAI | Link | Link |
| 2022 | BRUCE: Bundle Recommendation Using Contextualized item Embeddings (BRUCE) | RecSys | Link | - |
| 2021 | Social-Enhanced Attentive Group Recommendation (SoAGREE) | IEEE <br/>T-KDE | Link | Link |
| 2021 | Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation (HyperGroup) | ACM <br/>TOIS | Link | Link |
| 2021 | Hypergraph Convolutional Network for Group Recommendation (HCR) | ICDM | Link | Link |
| 2021 | DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback(DeepGroup) | CIKM | Link | Link |
| 2021 | Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation (HHGR) | CIKM | Link | Link |
| 2021 | Knowledge-Aware Group Representation Learning for Group Recommendation (KGAG) | ICDE | Link | - |
| 2021 | Group-Buying Recommendation for Social E-Commerce (GBGCN) | ICDE | Link | Link |
| 2021 | Drug Package Recommendation via Interaction-aware Graph Induction (DPR) | WWW | Link | - |
| 2020 | GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (GroupIM) | SIGIR | Link | Link |
| 2020 | GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation (GAME) | SIGIR | Link | - |
| 2020 | Bundle Recommendation with Graph Convolutional Networks (BGCN) | SIGIR | Link | Link |
| 2020 | Hierarchical Fashion Graph Network for Personalized Outfit Recommendation (HFGN) | SIGIR | Link | Link |
| 2020 | Personalized Bundle Recommendation in Online Games (BundleNet) | CIKM | Link | - |
| 2020 | Group Recommendation with Latent Voting Mechanism (GroupSA) | ICDE | Link | - |
| 2020 | An Efficient Group Recommendation Model With Multiattention-Based Neural Networks (MAGRM) | IEEE T-NNLS | Link | - |
| 2020 | Socially-driven multi-interaction attentive group representation learning for group recommendation (SGAGR) | Pattern Recognition Letters | Link | - |
| 2020 | Context-Aware Restaurant Recommendation for Group of People | SERVICES | Link | - |
| 2019 | Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network | IJCAI | Link | Link |
| 2019 | Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation (MoSAN) | SIGIR | Link | - |
| 2019 | Social Influence-Based Group Representation Learning for Group Recommendation (SIGR) | ICDE | Link | - |
| 2019 | GRADI: Towards group recommendation using attentive dual top-down and bottom-up influences (GRADI) | ICBD | Link | - |
| 2019 | Group Recommendation via Self-Attention and Collaborative Metric Learning Model (SACML) | IEEE Access | Link | - |
| 2018 | Attentive Group Recommendation (AGREE) | SIGIR | Link | Link |
| 2018 | Dynamic Connection-Based Social Group Recommendation | IEEE T-KDE | Link | - |
| 2018 | An enhanced aggregation method considering deviations for a group recommendation (UL) | Expert Systems with Applications | Link | - |
| 2018 | Context-Aware Group Recommendation for Point-of-Interests | IEEE Access | Link | - |
| 2018 | An observational user study for group recommender systems in the tourism domain | Information Technology & Tourism | Link | - |
| 2018 | How to Use Social Relationships in Group Recommenders: Empirical Evidence | UMAP | Link | - |
| 2017 | Fairness-Aware Group Recommendation with Pareto-Efficiency | RecSys | Link | - |
| 2016 | Recommending New Items to Ephemeral Groups Using Contextual User Influence | RecSys | Link | - |
| 2014 | Deep Modeling of Group Preferences for Group-Based Recommendation (DLGR) | AAAI | Link | - |