This repository contains code unofficially reimplemented the original paper KDD 2018 Deep Interest Network for Click-Through Rate Prediction in PyTorch version
- Simple Architecture Reimplementation
- Dice Activation / PReLU
- Data Evaluation (not trained yet)
- Dropout
- Regularization in DiFacto
- Mini-Batch Aware (MBA) regularization
Part of codes are adapted from the following projects
-
Deep Interest Network: Official repository for DIN
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DeepCTR: A collection of Click-Through Rate (CTR) prediction works