Add contributors

.github/workflows/contributor.yml

@@ -0,0 +1,22 @@
+name: Contributor List
+
+on:
+ pull_request:
+ branches:
+ - main
+ types: [closed]
+ workflow_dispatch:
+
+jobs:
+ contrib-readme-job:
+ runs-on: ubuntu-latest
+ steps:
+ - name: Add contributor list
+ uses: akhilmhdh/contributors-readme-action@master
+ with:
+ readme_path: "CONTRIBUTORS.md"
+ image_size: 80
+ commit_message: "Automatically update contributors"
+ columns_per_row: 6
+ env:
+ GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

CONTRIBUTORS.md

@@ -17,10 +17,7 @@ Once your contribution is accepted and merged, you become a contributor to FuxiC
 + Jieming Zhu from Huawei Noah's Ark Lab
 + Jinyang Liu from The Chinese University of Hong Kong
 
-## Contributors
-
-+ Shuai Yang from Peking University
-+ Kelong Mao from Tsinghua University
-+ Guohao Cai from Huawei Noah's Ark Lab
-
+## Contributors 🤗
 
+<!-- readme: doubleQ2018,Da-Guo,kyriemao,contributors -start -->
+<!-- readme: doubleQ2018,Da-Guo,kyriemao,contributors -end -->

README.md

@@ -80,17 +80,19 @@ Click-through rate (CTR) prediction is a critical task for various industrial ap
 | 43 | DLP-KDD'19 | [BST](./model_zoo/BST) | [Behavior Sequence Transformer for E-commerce Recommendation in Alibaba](https://arxiv.org/abs/1905.06874) :triangular_flag_on_post:**Alibaba** | [:arrow_upper_right:](https://github.com/reczoo/BARS/tree/main/ranking/ctr/BST) | `torch` |
 | 44 | CIKM'20 | [DMIN](./model_zoo/DMIN) | [Deep Multi-Interest Network for Click-through Rate Prediction](https://dl.acm.org/doi/10.1145/3340531.3412092) :triangular_flag_on_post:**Alibaba** | [:arrow_upper_right:](https://github.com/reczoo/BARS/tree/main/ranking/ctr/DMIN) | `torch` |
 | 45 | AAAI'20 | [DMR](./model_zoo/DMR) | [Deep Match to Rank Model for Personalized Click-Through Rate Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/5346) :triangular_flag_on_post:**Alibaba** | [:arrow_upper_right:](https://github.com/reczoo/BARS/tree/main/ranking/ctr/DMR) | `torch` |
-| 46 | Arxiv'21 | [ETA](./model_zoo/ETA) | [End-to-End User Behavior Retrieval in Click-Through RatePrediction Model](https://arxiv.org/abs/2108.04468) :triangular_flag_on_post:**Alibaba** | | `torch` |
+| 46 | DLP-KDD'22 | [ETA](./model_zoo/ETA) | [Efficient Long Sequential User Data Modeling for Click-Through
+Rate Prediction](https://arxiv.org/abs/2209.12212) :triangular_flag_on_post:**Alibaba** | | `torch` |
 | 47 | CIKM'22 | [SDIM](./model_zoo/SDIM) | [Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction](https://arxiv.org/abs/2205.10249) :triangular_flag_on_post:**Meituan** | | `torch` |
+| 48 | KDD'23 | [TransAct](./model_zoo/TransAct) | [TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest](https://arxiv.org/abs/2306.00248) :triangular_flag_on_post:**Pinterest** | | `torch` |
 |<tr><th colspan=6 align="center">:open_file_folder: **Dynamic Weight Network**</th></tr>|
-| 48 | NeurIPS'22 | [APG](./model_zoo/APG) | [APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction](https://arxiv.org/abs/2203.16218) :triangular_flag_on_post:**Alibaba** | [:arrow_upper_right:](https://github.com/reczoo/BARS/tree/main/ranking/ctr/APG) | `torch` |
-| 49 | KDD'23 | [PPNet](./model_zoo/PEPNet) | [PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information](https://arxiv.org/abs/2302.01115) :triangular_flag_on_post:**KuaiShou** | [:arrow_upper_right:](https://github.com/reczoo/BARS/tree/main/ranking/ctr/PPNet) | `torch` |
+| 49 | NeurIPS'22 | [APG](./model_zoo/APG) | [APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction](https://arxiv.org/abs/2203.16218) :triangular_flag_on_post:**Alibaba** | [:arrow_upper_right:](https://github.com/reczoo/BARS/tree/main/ranking/ctr/APG) | `torch` |
+| 50 | KDD'23 | [PPNet](./model_zoo/PEPNet) | [PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information](https://arxiv.org/abs/2302.01115) :triangular_flag_on_post:**KuaiShou** | [:arrow_upper_right:](https://github.com/reczoo/BARS/tree/main/ranking/ctr/PPNet) | `torch` |
 |<tr><th colspan=6 align="center">:open_file_folder: **Multi-Task Modeling**</th></tr>|
-| 50 | MachineLearn'97 | [SharedBottom](./model_zoo/multitask/SharedBottom) | [Multitask Learning](https://link.springer.com/article/10.1023/A:1007379606734) | | `torch` |
-| 51 | KDD'18 | [MMoE](./model_zoo/multitask/MMOE) | [Modeling Task Relationships in Multi-task Learning with Multi-Gate Mixture-of-Experts](https://dl.acm.org/doi/pdf/10.1145/3219819.3220007) :triangular_flag_on_post:**Google** | | `torch` |
-| 52 | KDD'18 | [PLE](./model_zoo/multitask/PLE) | [Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations](https://dl.acm.org/doi/10.1145/3383313.3412236) :triangular_flag_on_post:**Tencent** | | `torch` |
+| 51 | MachineLearn'97 | [SharedBottom](./model_zoo/multitask/SharedBottom) | [Multitask Learning](https://link.springer.com/article/10.1023/A:1007379606734) | | `torch` |
+| 52 | KDD'18 | [MMoE](./model_zoo/multitask/MMOE) | [Modeling Task Relationships in Multi-task Learning with Multi-Gate Mixture-of-Experts](https://dl.acm.org/doi/pdf/10.1145/3219819.3220007) :triangular_flag_on_post:**Google** | | `torch` |
+| 53 | KDD'18 | [PLE](./model_zoo/multitask/PLE) | [Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations](https://dl.acm.org/doi/10.1145/3383313.3412236) :triangular_flag_on_post:**Tencent** | | `torch` |
 |<tr><th colspan=6 align="center">:open_file_folder: **Multi-Domain Modeling**</th></tr>|
-| 53 | KDD'23 | PEPNet | [PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information](https://arxiv.org/abs/2302.01115) :triangular_flag_on_post:**KuaiShou** | | `torch` |
+| 54 | KDD'23 | PEPNet | [PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information](https://arxiv.org/abs/2302.01115) :triangular_flag_on_post:**KuaiShou** | | `torch` |
 
 ## Benchmarking
 

requirements.txt

@@ -6,4 +6,4 @@ numpy
 h5py
 tqdm
 pyarrow
-polars
+polars