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[Recsys'25]Enhancing Online Video Recommendation via a Coarse-to-fine Dynamic Uplift Modeling Framework

This repository contains TensorFlow codes and datasets for the paper.

Environment

The code has been tested running under Python 3.8. The required packages are as follows:

  • tensorflow == 2.7.3
  • keras == 2.7.0
  • numpy == 1.24.4

Datasets

We provide the processed dataset: lazada and criteo.

lazada dataset:https://drive.google.com/drive/folders/1yPBlMY9qxrcWb4Il0JbmVazQNXHiRTlM?usp=drive_link

criteo dataset:https://drive.google.com/drive/folders/10w65depeVvW2EfJixEk5le0gFTuDIbTt?usp=drive_link

Just Run It!

  • lazada
python lazada.py
  • criteo
python criteo.py

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RecSys 2025, the code and datasets for CDUM.

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