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https://github.com/yueliu1999/Awesome-Deep-Group-Recommendation
Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).
https://github.com/yueliu1999/Awesome-Deep-Group-Recommendation
List: Awesome-Deep-Group-Recommendation
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Awesome Deep Group Recommendation is a collection of SOTA, novel deep group recommendation methods (papers, codes, and datasets).
- Host: GitHub
- URL: https://github.com/yueliu1999/Awesome-Deep-Group-Recommendation
- Owner: yueliu1999
- License: mit
- Created: 2024-01-16T08:07:06.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-05-21T11:25:36.000Z (6 months ago)
- Last Synced: 2024-08-07T06:01:53.107Z (3 months ago)
- Size: 88.9 KB
- Stars: 22
- Watchers: 1
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Awesome-Deep-Group-Recommendation
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. :sparkles:
## Papers
[//]: # (### Survey)
[//]: # (| Year | Title | Venue | Paper | Code |)
[//]: # (|------|----------------------------------------------------|:------:| :----------------------------------------------------------: |:----:|)
[//]: # (| 2014 | **Group recommendations: Survey and Perspectives** | Computing and Informatics | [Link](https://www.cai.sk/ojs/index.php/cai/article/download/1077/633) | - |)
### Model-based Group Recommendation
#### Deep Group Recommendation
| Year | Title | Venue | Paper | Code |
|------|-----------------------------------------------------------------------------------------------------------------------|:--------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|
| 2024 | **Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating** | WWW | [Link](https://jeon185.github.io/data/WWW24(CoHeat).pdf) | [Link](https://github.com/snudatalab/CoHeat) |
| 2024 | **Revisiting Bundle Recommendation for Intent-aware Product Bundling** | ACM TOIS | [Link](https://dl.acm.org/doi/pdf/10.1145/3652865) | [Link](https://github.com/BundleRec/bundle_recommendation) |
| 2024 | **MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation (MultiCBR)** | ACM TOIS | [Link](https://dl.acm.org/doi/pdf/10.1145/3640810) | [Link](https://github.com/HappyPointer/MultiCBR) |
| 2024 | **GroupMO: A Memory-augmented Meta-optimized Model for Group Recommendation (GroupMO)** | WWW | [Link](https://www.researchgate.net/publication/373652231_GroupMO_A_Memory-augmented_Meta-optimized_Model_for_Group_Recommendation) | - |
| 2024 | **Group Task Recommendation in Mobile Crowdsensing: An Attention-Based Neural Collaborative Approach** | IEEE T-MC | [Link](https://ieeexplore.ieee.org/abstract/document/10372184) | - |
| 2023 | **Bundle Recommendation and Generation With Graph Neural Networks** | IEEE T-KDE | [Link](https://drive.google.com/file/d/19JMSrXhOp8d0nhTxDhEtdURa__5_d2b6/view) | [Link](https://github.com/cjx0525/BGCN) |
| 2023 | **Hyperbolic Mutual Learning for Bundle Recommendation** | DASFAA | [Link](https://dl.acm.org/doi/10.1007/978-3-031-30672-3_28) | - |
| 2023 | **Dual-Supervised Contrastive Learning for Bundle Recommendation (DSCBR)** | IEEE T-CSS | [Link](https://ieeexplore.ieee.org/abstract/document/10342659) | - |
| 2023 | **Auto Graph Filtering for Bundle Recommendation** | ICDM | [Link](https://ieeexplore.ieee.org/abstract/document/10415811) | [Link](https://github.com/AllminerLab/Code-for-AGFN-matser) |
| 2023 | **Data-Augmented Counterfactual Learning for Bundle Recommendation** | DASFAA | [Link](https://arxiv.org/pdf/2210.10555) | - |
| 2023 | **Hypergrah-Enhanced Dual Convolutional Network for Bundle Recommendation** | arXiv | [Link](https://arxiv.org/html/2312.11018v1) | - |
| 2023 | **Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation (IGRec)** | arXiv | [Link](https://arxiv.org/pdf/2311.09577.pdf) | [Link](https://github.com/Xiaolong-Liu-bdsc/IGRec) |
| 2023 | **PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation (PEGA)** | arXiv | [Link](https://arxiv.org/pdf/2304.08851.pdf) | - |
| 2023 | **Dependency Relationships-Enhanced Attentive Group Recommendation in HINs (DREAGR)** | arXiv | [Link](https://arxiv.org/pdf/2311.11239.pdf) | - |
| 2023 | **Multi-view Graph Convolution for Participant Recommendation (MVPRec)** | arXiv | [Link](https://arxiv.org/pdf/2311.12136.pdf) | [Link](https://github.com/Xiaolong-Liu-bdsc/MVPRec) |
| 2023 | **Overcoming Data Sparsity in Group Recommendation (CAGR)** | IEEE
T-KDE | [Link](https://arxiv.org/pdf/2010.00813.pdf) | - |
| 2023 | **Group Buying Recommendation Model Based on Multi-task Learning (MGBR)** | ICDE | [Link](https://arxiv.org/pdf/2211.14247.pdf) | [Link](https://github.com/DeqingYang/MGBR) |
| 2023 | **Improving Group Recommendations using Personality, Dynamic Clustering and Multi-Agent MicroServices** | RecSys | [Link](https://dl.acm.org/doi/abs/10.1145/3604915.3610653) | - |
| 2023 | **Constrained Social Community Recommendation (ComRec)** | SIGKDD | [Link](https://edwlin.github.io/pubs/kdd2023-community.pdf) | - |
| 2023 | **Self-Supervised Group Graph Collaborative Filtering for Group Recommendation (SGGCF)** | WSDM | [Link](https://dl.acm.org/doi/abs/10.1145/3539597.3570400) | [Link](https://github.com/kullaheyo/SGGCF) |
| 2023 | **Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph (CFAG)** | WSDM | [Link](https://arxiv.org/pdf/2211.01830.pdf) | [Link](https://github.com/mdyfrank/CFAG) |
| 2023 | **LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation (LINet)** | WWW | [Link](https://dl.acm.org/doi/abs/10.1145/3543507.3583202) | - |
| 2023 | **ConsRec: Learning Consensus Behind Interactions for Group Recommendation (ConsRec)** | WWW | [Link](https://arxiv.org/pdf/2302.03555.pdf) | [Link](https://github.com/FDUDSDE/WWW2023ConsRec) |
| 2023 | **Beyond Individuals: Modeling Mutual and Multiple Interactions for Inductive Link Prediction between Groups (MMAN)** | WWW | [Link](https://dl.acm.org/doi/abs/10.1145/3539597.3570448) | - |
| 2023 | **Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning (GTGS)** | CIKM | [Link](https://arxiv.org/pdf/2308.08620v1.pdf) | - |
| 2023 | **Multi-Granularity Attention Model for Group Recommendation (MGAM)** | CIKM | [Link](https://arxiv.org/pdf/2308.04017.pdf) | - |
| 2023 | **Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering (FINDING)** | CIKM | [Link](https://dl.acm.org/doi/abs/10.1145/3583780.3614881) | - |
| 2023 | **Dual Intents Graph Modeling for User-centric Group Discovery (DiRec)** | CIKM | [Link](https://arxiv.org/pdf/2308.05013.pdf) | [Link](https://github.com/WxxShirley/CIKM2023DiRec) |
| 2023 | **SQUIRREL: A framework for sequential group recommendations through reinforcement learning (SQUIRREL)** | Information Systems | [Link](https://www.sciencedirect.com/science/article/pii/S0306437922001065) | - |
| 2023 | **Member-Augmented Group Recommendation With Multi-Interest Framework and Knowledge Graph Embeddings** | IEEE T-CSS | [Link](https://ieeexplore.ieee.org/abstract/document/10288358) | - |
| 2023 | **CHARM: A Group Recommender ChatBot (CHARM)** | UMAP | [Link](https://dl.acm.org/doi/abs/10.1145/3563359.3597388) | - |
| 2022 | **Thinking inside The Box: Learning Hypercube Representations for Group Recommendation (CubeRec)** | SIGIR | [Link](https://arxiv.org/pdf/2204.02592.pdf) | [Link](https://github.com/jinglong0407/CubeRec) |
| 2022 | **Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations (DAUC)** | SIGKDD | [Link](https://dl.acm.org/doi/10.1145/3534678.3539105) | - |
| 2022 | **CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation (CrossCBR)** | SIGKDD | [Link](https://dl.acm.org/doi/10.1145/3534678.3539229) | [Link](https://github.com/mysbupt/CrossCBR) |
| 2022 | **Exploiting Group Information for Personalized Recommendation with Graph Neural Networks (GGRM)** | ACM TOIS | [Link](https://dl.acm.org/doi/10.1145/3464764) | - |
| 2022 | **Interaction-aware Drug Package Recommendation via Policy Gradient (DPG)** | ACM TOIS | [Link](https://dl.acm.org/doi/10.1145/3511020) | - |
| 2022 | **Enumerating Fair Packages for Group Recommendations (FAPE)** | WSDM | [Link](https://arxiv.org/pdf/2105.14423.pdf) | [Link](https://github.com/joisino/fape) |
| 2022 | **GBERT: Pre-training User representations for Ephemeral Group Recommendation (GBERT)** | CIKM | [Link](https://dl.acm.org/doi/abs/10.1145/3511808.3557330) | - |
| 2022 | **Multi-View Intent Disentangle Graph Networks for Bundle Recommendation (MIDGN)** | AAAI | [Link](https://ojs.aaai.org/index.php/AAAI/article/view/20359) | [Link](https://github.com/Snnzhao/MIDGN) |
| 2022 | **BRUCE: Bundle Recommendation Using Contextualized item Embeddings (BRUCE)** | RecSys | [Link](https://dl.acm.org/doi/10.1145/3523227.3546754) | - |
| 2021 | **Social-Enhanced Attentive Group Recommendation (SoAGREE)** | IEEE
T-KDE | [Link](http://staff.ustc.edu.cn/~hexn/papers/tkde19-social-group-rec.pdf) | [Link](https://github.com/caoda0721/SoAGREE) |
| 2021 | **Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation (HyperGroup)** | ACM
TOIS | [Link](https://arxiv.org/pdf/2103.13506.pdf) | [Link](https://github.com/FDUDSDE/WWW2023GroupRecBaselines/tree/main/HyperGroup) |
| 2021 | **Hypergraph Convolutional Network for Group Recommendation (HCR)** | ICDM | [Link](https://shiruipan.github.io/publication/icdm-21-jia/icdm-21-jia.pdf) | [Link](https://github.com/GroupRec/GroupRec) |
| 2021 | **DeepGroup: Representation Learning for Group Recommendation with Implicit Feedback(DeepGroup)** | CIKM | [Link](https://arxiv.org/pdf/2103.07597.pdf) | [Link](https://github.com/sarinasajadi/DeepGroup) |
| 2021 | **Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation (HHGR)** | CIKM | [Link](https://arxiv.org/pdf/2109.04200.pdf) | [Link](https://github.com/0411tony/HHGR) |
| 2021 | **Knowledge-Aware Group Representation Learning for Group Recommendation (KGAG)** | ICDE | [Link](https://ieeexplore.ieee.org/document/9458824) | - |
| 2021 | **Group-Buying Recommendation for Social E-Commerce (GBGCN)** | ICDE | [Link](https://arxiv.org/abs/2010.06848) | [Link](https://github.com/Sweetnow/group-buying-recommendation) |
| 2021 | **Drug Package Recommendation via Interaction-aware Graph Induction (DPR)** | WWW | [Link](https://arxiv.org/pdf/2102.03577.pdf) | - |
| 2020 | **GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (GroupIM)** | SIGIR | [Link](https://arxiv.org/pdf/2006.03736.pdf) | [Link](https://github.com/CrowdDynamicsLab/GroupIM) |
| 2020 | **GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation (GAME)** | SIGIR | [Link](https://dl.acm.org/doi/10.1145/3397271.3401064) | - |
| 2020 | **Bundle Recommendation with Graph Convolutional Networks (BGCN)** | SIGIR | [Link](https://arxiv.org/pdf/2005.03475.pdf) | [Link](https://github.com/cjx0525/BGCN) |
| 2020 | **Hierarchical Fashion Graph Network for Personalized Outfit Recommendation (HFGN)** | SIGIR | [Link](https://arxiv.org/pdf/2005.12566.pdf) | [Link](https://github.com/xcppy/hierarchical_fashion_graph_network) |
| 2020 | **Personalized Bundle Recommendation in Online Games (BundleNet)** | CIKM | [Link](https://arxiv.org/pdf/2104.05307.pdf) | - |
| 2020 | **Group Recommendation with Latent Voting Mechanism (GroupSA)** | ICDE | [Link](https://ieeexplore.ieee.org/document/9101842) | - |
| 2020 | **An Efficient Group Recommendation Model With Multiattention-Based Neural Networks (MAGRM)** | IEEE T-NNLS | [Link](https://ieeexplore.ieee.org/document/8960474) | - |
| 2020 | **Socially-driven multi-interaction attentive group representation learning for group recommendation (SGAGR)** | Pattern Recognition Letters | [Link](https://opus.lib.uts.edu.au/bitstream/10453/149938/3/Socially-driven%20multi-interaction%20attentive.pdf) | - |
| 2020 | **Context-Aware Restaurant Recommendation for Group of People** | SERVICES | [Link](https://ieeexplore.ieee.org/document/9283893) | - |
| 2019 | **Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network** | IJCAI | [Link](https://www.ijcai.org/proceedings/2019/0290.pdf) | [Link](https://github.com/yliuSYSU/DAM) |
| 2019 | **Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation (MoSAN)** | SIGIR | [Link](https://arxiv.org/pdf/1804.04327.pdf) | - |
| 2019 | **Social Influence-Based Group Representation Learning for Group Recommendation (SIGR)** | ICDE | [Link](https://ieeexplore.ieee.org/document/8731382) | - |
| 2019 | **GRADI: Towards group recommendation using attentive dual top-down and bottom-up influences (GRADI)** | ICBD | [Link](https://ieeexplore.ieee.org/abstract/document/9005686/) | - |
| 2019 | **Group Recommendation via Self-Attention and Collaborative Metric Learning Model (SACML)** | IEEE Access | [Link](https://ieeexplore.ieee.org/document/8896961) | - |
| 2018 | **Attentive Group Recommendation (AGREE)** | SIGIR | [Link](http://staff.ustc.edu.cn/~hexn/papers/sigir18-groupRS.pdf) | [Link](https://github.com/LianHaiMiao/Attentive-Group-Recommendation) |
| 2018 | **Dynamic Connection-Based Social Group Recommendation** | IEEE T-KDE | [Link](https://ieeexplore.ieee.org/document/8523627) | - |
| 2018 | **An enhanced aggregation method considering deviations for a group recommendation (UL)** | Expert Systems with Applications | [Link](https://mysid88.github.io/homepage/publication/2018/An%20enhanced%20aggregation%20method%20considering%20deviations%20for%20a%20group%20recommendation.pdf) | - |
| 2018 | **Context-Aware Group Recommendation for Point-of-Interests** | IEEE Access | [Link](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8293761) | - |
| 2018 | **An observational user study for group recommender systems in the tourism domain** | Information Technology & Tourism | [Link](https://ideas.repec.org/a/spr/infott/v19y2018i1d10.1007_s40558-018-0106-y.html) | - |
| 2018 | **How to Use Social Relationships in Group Recommenders: Empirical Evidence** | UMAP | [Link](https://dl.acm.org/doi/10.1145/3209219.3209226) | - |
| 2017 | **Fairness-Aware Group Recommendation with Pareto-Efficiency** | RecSys | [Link](https://dl.acm.org/doi/10.1145/3109859.3109887) | - |
| 2016 | **Recommending New Items to Ephemeral Groups Using Contextual User Influence** | RecSys | [Link](https://dl.acm.org/doi/10.1145/2959100.2959137) | - |
| 2014 | **Deep Modeling of Group Preferences for Group-Based Recommendation (DLGR)** | AAAI | [Link](https://ojs.aaai.org/index.php/AAAI/article/view/9007) | - |
#### Traditional Model
| Year | Title | Venue | Paper | Code |
|------|--------------------------------------------------------------------------|:------:|:----------------------------------------------------------:|:------------------------------------:|
| 2023 | **Probabilistic Majority Rule-Based Group Recommendation** | ICDE | [Link](https://ieeexplore.ieee.org/abstract/document/10184759) | - |
| 2014 | **Probabilistic Group Recommendation Model for Crowdfunding Domains (CrowdRec)** | WSDM | [Link](https://dmkd.cs.vt.edu/papers/WSDM16a.pdf) | [Link](https://github.com/VRM1/Crec) |
| 2014 | **COM: a Generative Model for Group Recommendation (COM)** | SIGKDD | [Link](https://dl.acm.org/doi/10.1145/2623330.2623616) | - |
| 2012 | **Exploring personal impact for group recommendation (PIT)** | CIKM | [Link](https://dl.acm.org/doi/abs/10.1145/2396761.2396848) | - |
### Memory-based Group Recommendation
#### Preference Aggregation Group Recommendation
| Year | Title | Venue | Paper | Code |
|------|--------|:-------------------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:----:|
| 2012 | **CoFeel: Using Emotions for Social Interaction in Group Recommender Systems** | RecSys | [Link](http://ceur-ws.org/Vol-891/interfacers12_submission_4.pdf) | - |
| 2010 | **Enhancing Group Recommendation by Incorporating Social Relationship Interactions** | GROUP | [Link](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.298.8069&rep=rep1&type=pdf) | - |
| 2010 | **Mathematical Modeling and Analysis of Product Rating with Partial Information** | TKDD | [Link](https://www.cse.cuhk.edu.hk/~cslui/PUBLICATION/TKDD_product_rating.pdf) | - |
| 2009 | **Preference Aggregation in Group Recommender Systems for Committee Decision-Making** | RecSys | [Link](https://dl.acm.org/doi/pdf/10.1145/1639714.1639782) | - |
| 2008 | **A group recommendation system with consideration of interactions among group members** | Expert System Application | [Link](https://www.sciencedirect.com/science/article/abs/pii/S0957417407000863) | - |
| 2006 | **TV Program Recommendation for Multiple Viewers Based on user Profile Merging** | UMUAI | [Link](http://www.ccm.media.kyoto-u.ac.jp/~yu/UMUAI_Zhiwen%20Yu.pdf) | - |
| 2005 | **Adaptive Radio: Achieving Consensus Using Negative Preferences** | GROUP | [Link](https://www.cs.unm.edu/~dlchao/papers/chao05group.pdf) | - |
| 2004 | **More Than the Sum of Its Members: Challenges for Group Recommender Systems** | AVI | [Link](https://chusable.com/archives/homepage-2017/pdf/avi04.jameson-long.pdf) | - |
| 1998 | **MusicFX: An Arbiter of Group Preferences for Computer Supported Collaborative Workouts** | CSCW | [Link](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.34.516&rep=rep1&type=pdf) | - |
#### Score Aggregation Group Recommendation
| Year | Title | Venue | Paper | Code |
|------|-----------------------------------------------------------|:-----:|:--------:|:----:|
| 2015 | **ART: group recommendation approaches for automatically detected groups** | IJMLC | [Link](https://link.springer.com/article/10.1007/s13042-015-0371-4) | - |
| 2010 | **Group Recommendations with Rank Aggregation and Collaborative Filtering** | RecSys | [Link](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.453.2513&rep=rep1&type=pdf) | - |
| 2010 | **Group-Based Recipe Recommendations: Analysis of Data Aggregation Strategies** | RecSys | [Link](https://dl.acm.org/doi/10.1145/1864708.1864732) | - |
| 2010 | **State-of-the-Art in Group Recommendation and New Approaches for Automatic Identification of Groups. Inform.** | RMDE | [Link](https://link.springer.com/chapter/10.1007/978-3-642-16089-9_1) | - |
| 2009 | **Group Recommendation: Semantics and Efficiency** | VLDB | [Link](https://dl.acm.org/doi/10.14778/1687627.1687713) | - |
| 2007 | **Recommendation to Groups** | TAW | [Link](https://link.springer.com/chapter/10.1007/978-3-540-72079-9_20) | - |
| 2005 | **Group Modeling in a Public Space: Methods, Techniques, Experiences** | WSEAS | [Link](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.555.1191&rep=rep1&type=pdf) | - |
| 2002 | **Flytrap: Intelligent Group Music Recommendation** | IUI | [Link](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.7.5973&rep=rep1&type=pdf) | - |
| 2001 | **PolyLens: A Recommender System for Groups of Users** | ECSCW | [Link](https://link.springer.com/chapter/10.1007/0-306-48019-0_11) | - |
## Datasets
| 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 |