ctr-prediction

Papers on Computational Advertising

A unified, comprehensive and efficient recommendation library

Tensorflow implementation of DeepFM for CTR prediction.

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

Recommender Learning with Tensorflow2.x

A framework for large scale recommendation algorithms.

Factorization Machine models in PyTorch

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

CTR prediction model based on spark(LR, GBDT, DNN)

TensorFlow Script

DeepTables: Deep-learning Toolkit for Tabular data

A curated model zoo for CTR prediction https://fuxictr.github.io/tutorials

Recommender Systems Paperlist that I am interested in

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

CTR模型代码和学习笔记总结

A PyTorch implementation of DeepFM for CTR prediction problem.

Wide and Deep Learning for CTR Prediction in tensorflow

BARS: Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS

4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.