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.

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

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

Factorization Machine models in PyTorch

TensorFlow Script

DeepTables: Deep-learning Toolkit for Tabular data

Recommender Systems Paperlist that I am interested in

A configurable, tunable, and reproducible library for CTR prediction

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

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

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

Deep-Learning based CTR models implemented by PyTorch