#计算机科学#Papers on Computational Advertising
#计算机科学#A unified, comprehensive and efficient recommendation library
Tensorflow implementation of DeepFM for CTR prediction.
A framework for large scale recommendation algorithms.
#计算机科学#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 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)
#计算机科学#CTR prediction model based on spark(LR, GBDT, DNN)
#计算机科学#TensorFlow Script
#计算机科学#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.
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
#计算机科学#Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
#Awesome#Paper List for Recommend-system PreTrained Models