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

A framework for large scale recommendation algorithms.

Recommender Learning with Tensorflow2.x

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

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)

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

TensorFlow Script

DeepTables: Deep-learning Toolkit for Tabular data

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

Recommender Systems Paperlist that I am interested in

A PyTorch implementation of DeepFM for CTR prediction problem.

CTR模型代码和学习笔记总结

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

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

Paper List for Recommend-system PreTrained Models