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ad-papers

Papers on Computational Advertising

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

boost

Super-project for modularized Boost

data-analysis-sql

基于hive sql的数据分析工作

deeplearning

深度学习相关的模型训练、评估和预测相关代码

deeplearningbook-chinese

Deep Learning Book Chinese Translation

easyrec

A framework for large scale recommendation algorithms.

faiss

A library for efficient similarity search and clustering of dense vectors.

folly

An open-source C++ library developed and used at Facebook.

large-scale-recsys-in-action

ps-dnn

这是一个基于参数服务器（Parameter Server）PS-Lite的分布式深度学习训练和预测框架。This is a model training and prediction framework.1) It includes a complete set of processes such as sample generation, feature extraction, model training and prediction 2） It is lightweight, based on C++, and can be directly used for online business where tensorflow is too inconvenient 3)it suppo

reco-papers

Classic papers and resources on recommendation

recommender

基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型，结合专业运营人员的业务经营，发掘潜在用户，进行推荐营销召回。

recommendersystem

recsyspapers

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

thirdparty

Put thirdparty library here for toft ant foxy

toft

C++ Base Library for serverside development

towhee

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.