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An implementation of Paper "Deep Interest Evolution Network for Click-Through Rate Prediction"

Python 100.00%

dien----deep-interest-evolution-network-for-click-through-rate-prediction's Introduction

Dien----Deep-Interest-Evolution-Network-for-Click-Through-Rate-Prediction

An implementation of Paper "Deep Interest Evolution Network for Click-Through Rate Prediction" The paper url is: https://arxiv.org/abs/1809.03672 The official implementation github is: https://github.com/mouna99/dien

Environment: TF-2.7.0 Cuda 11.0 3090x2

This is a simplified version of DIEN, some experimental parts in offical codes are ignored. negative sampling is optimized and got very large speed up.

Running result is shown in report.txt.

Dataset used is Amazon dataset, version:2018 category:Book review:core-5

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