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heroes's Introduction

Hierarchical rEcurrent Ranking On the Entire Space (HEROES)



This includes tensorflow and pytorch implementations of HEROES model. This is the experiment code in the following work:

Multi-Scale User Behavior Network for Entire Space Multi-Task Learning
Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu.
CIKM 2022

Prerequisites

  • Python 3.6
  • Pytorch 1.8.0
  • TensorFlow 1.14.0

Run

Please use python model_dataset.py to run our model and baseline methods, where the model is in [esmm, esmm2, mmoe, dnn, heroes], and the dataset is in [alicpp, criteo].

heroes's People

Contributors

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