README.md

Avazu_x1

This dataset contains about 10 days of labeled click-through data on mobile advertisements. It has 22 feature fields including user features and advertisement attributes. We provide the reusable, processed dataset released by the BARS benchmark, which are randomly split into 7:1:2 as the training set, validation set, and test set, respectively.

Dataset Details

• Repository: https://github.com/reczoo/BARS/tree/main/datasets/Avazu#avazu_x1

• Used by papers:

  • Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong. FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. In AAAI 2023.
  • Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang. FINAL: Factorized Interaction Layer for CTR Prediction. In SIGIR 2023.
  • Weiyu Cheng, Yanyan Shen, Linpeng Huang. Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions. In AAAI 2020.

• Check the md5sum for data integrity:

  ```bash
  $ md5sum train.csv valid.csv test.csv
  f1114a07aea9e996842c71648e0f6395  train.csv
  d9568f246357d156c4b8030fadb8b623  valid.csv
  9e2fe9c48705c9315ae7a0953eb57acf  test.csv
  ```