Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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Updated
Jan 31, 2024 - Python
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Tensorflow implementation of DeepFM for CTR prediction.
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
推荐算法实战(Recommend algorithm)
Must-read Papers for Recommender Systems (RS)
PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
Click-Through Rate Estimation for Rare Events in Online Advertising
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Dataset and code for “Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction”
The source code of MacGNN, The Web Conference 2024.
웹 광고 클릭률 예측 AI 경진대회, DACON (2024.05.07 ~ 2024.06.03)
StrikePrick is your one-stop destination for exposing and overturning ineffective, outdated email marketing strategies. This repository offers a data-driven, humor-infused critique of commonly touted advice, using verified statistics to debunk myths and set the record straight. Designed for e-commerce brands and marketers.
CS7CS4- Machine Learning- Recommendation Algorithm- Click Prediction- Kaggle Competition
I went on a 5 days sprint of completing some of my previously started projects and i hope to have 4 project deployed at the end of the 5th day.
Training pipeline using TFRecord files
Implementation of algorithms for click through rate predictions utilising sparsity.
An eXtensible Package of Deep Learning based Ranking Models for Large-scale Industrial Recommender System with Tensorflow
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