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.
StrikePrick is your one-stop destination for exposing and overturning ineffective, outdated email marketing strategies.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
Training pipeline using TFRecord files
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.
Implementation of algorithms for click through rate predictions utilising sparsity.
Recommendation system implementation
An introduction of a simple approach for CTR Anomaly Detection
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