PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction

Overview

This repository contains code unofficially reimplemented the original paper KDD 2018 Deep Interest Network for Click-Through Rate Prediction in PyTorch version

To-Dos

• [x] Simple Architecture Reimplementation
• [x] Dice Activation / PReLU
• [ ] Data Evaluation (not trained yet)
• [x] Dropout
• [ ] Regularization in DiFacto
• [ ] Mini-Batch Aware (MBA) regularization

Acknowledgements

Part of codes are adapted from the following projects

• Deep Interest Network: Official repository for DIN

• DeepCTR: A collection of Click-Through Rate (CTR) prediction works