Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets). Any other interesting papers and codes are welcome. Any problems, please contact [email protected]. If you find this repository useful to your research or work, it is really appreciated to star this repository. ✨
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 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 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 T-KDE |
Link | Link |
| 2021 | Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation (HyperGroup) | ACM 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 | - |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2023 | Probabilistic Majority Rule-Based Group Recommendation | ICDE | Link | - |
| 2014 | Probabilistic Group Recommendation Model for Crowdfunding Domains (CrowdRec) | WSDM | Link | Link |
| 2014 | COM: a Generative Model for Group Recommendation (COM) | SIGKDD | Link | - |
| 2012 | Exploring personal impact for group recommendation (PIT) | CIKM | Link | - |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2012 | CoFeel: Using Emotions for Social Interaction in Group Recommender Systems | RecSys | Link | - |
| 2010 | Enhancing Group Recommendation by Incorporating Social Relationship Interactions | GROUP | Link | - |
| 2010 | Mathematical Modeling and Analysis of Product Rating with Partial Information | TKDD | Link | - |
| 2009 | Preference Aggregation in Group Recommender Systems for Committee Decision-Making | RecSys | Link | - |
| 2008 | A group recommendation system with consideration of interactions among group members | Expert System Application | Link | - |
| 2006 | TV Program Recommendation for Multiple Viewers Based on user Profile Merging | UMUAI | Link | - |
| 2005 | Adaptive Radio: Achieving Consensus Using Negative Preferences | GROUP | Link | - |
| 2004 | More Than the Sum of Its Members: Challenges for Group Recommender Systems | AVI | Link | - |
| 1998 | MusicFX: An Arbiter of Group Preferences for Computer Supported Collaborative Workouts | CSCW | Link | - |
| Year | Title | Venue | Paper | Code |
|---|---|---|---|---|
| 2015 | ART: group recommendation approaches for automatically detected groups | IJMLC | Link | - |
| 2010 | Group Recommendations with Rank Aggregation and Collaborative Filtering | RecSys | Link | - |
| 2010 | Group-Based Recipe Recommendations: Analysis of Data Aggregation Strategies | RecSys | Link | - |
| 2010 | State-of-the-Art in Group Recommendation and New Approaches for Automatic Identification of Groups. Inform. | RMDE | Link | - |
| 2009 | Group Recommendation: Semantics and Efficiency | VLDB | Link | - |
| 2007 | Recommendation to Groups | TAW | Link | - |
| 2005 | Group Modeling in a Public Space: Methods, Techniques, Experiences | WSEAS | Link | - |
| 2002 | Flytrap: Intelligent Group Music Recommendation | IUI | Link | - |
| 2001 | PolyLens: A Recommender System for Groups of Users | ECSCW | Link | - |
| Name | #Users | #Items | #Groups | #U-I | #G-I | #U-G | Used Methods |
|---|---|---|---|---|---|---|---|
| Mafengwo | 5,275 | 1,513 | 995 | 39,761 | 3,595 | NA | ConsRec, IGRec |
| Mafengwo | 1,269 | 999 | 972 | 8,676 | 2,540 | 5,574 | DiRec, CFAG |
| CAMRA2011 | 602 | 7,710 | 290 | 116,334 | 145,068 | NA | ConsRec |
| Weeplaces | 1,501 | 6,406 | 4,651 | 43,942 | 6,033 | 12,258 | DiRec, CFAG |
| Steam | 11,099 | 2,351 | 1,085 | 444,776 | 22,318 | 57,654 | DiRec, CFAG |
| Steam | 375,257 | 2,580 | 849 | 12,181,681 | 25,470 | NA | IGRec |
| Beibei | 125,012 | 30,516 | 430,360 | NA | NA | NA | MGBR |
| Yelp | 7,037 | 7,671 | 10,214 | 220,091 | 11,160 | NA | GroupIM |
| Yelp | 34,504 | 22,611 | 24,103 | 482,273 | 26,883 | NA | SGGCF |
| Weeplaces | 8,643 | 25,081 | 22,081 | 1,358,458 | 180,229 | NA | GroupIM |
| Weeplaces | 8,643 | 25,081 | 22,733 | 508,486 | 67,133 | NA | SGGCF |
| Gowalla | 25,405 | 38,306 | 44,565 | 1,025,500 | 154,526 | NA | GroupIM |
| Douban | 23,032 | 10,039 | 58,983 | 1,731,429 | 93,635 | NA | GroupIM |
| Douban | 12,925 | 10,783 | 2,753 | 553,766 | 82,590 | NA | IGRec |
| Douban | 70,743 | 60,028 | 109,538 | 3,422,266 | 164,153 | NA | SGGCF |
