diff --git a/README.md b/README.md index 5cfe26d..74556d9 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ Pytorch version Pytorch version Pypi version -Downloads +Downloads License
@@ -133,7 +133,7 @@ Please install other required packages via `pip install -r requirements.txt`. python run_expid.py --expid DCN_test --gpu 0 # Change `MODEL` according to the target model name - cd model_zoo/MODEL_PATH + cd model_zoo/MODEL python run_expid.py --expid MODEL_test --gpu 0 ``` @@ -161,3 +161,9 @@ If you find our code or benchmarks helpful in your research, please cite the fol + Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He. [Open Benchmarking for Click-Through Rate Prediction](https://arxiv.org/abs/2009.05794). *The 30th ACM International Conference on Information and Knowledge Management (CIKM)*, 2021. [[Bibtex](https://dblp.org/rec/conf/cikm/ZhuLYZH21.html?view=bibtex)] + Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang. [BARS: Towards Open Benchmarking for Recommender Systems](https://arxiv.org/abs/2205.09626). *The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)*, 2022. [[Bibtex](https://dblp.org/rec/conf/sigir/ZhuDSMLCXZ22.html?view=bibtex)] + +## Discussion + +Welcome to join our WeChat group for any question and discussion. If you are interested in research and practice in recommender systems, please reach out via our WeChat group. + +![Scan QR code](https://openbenchmark.github.io/BARS/_images/wechat.jpg)