DPP算法实现

FeatHub - A stream-batch unified feature store for real-time machine learning

Distributed Factorization Machines

Large batch training of CTR models based on DeepCTR with CowClip.

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and us…

Collaborative Deep Learning (CDL)

Recommender Learning with Tensorflow2.x

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.

This's the tool for CTR, including FM, FFM, NFFM and so on.

Neural Graph Collaborative Filtering, SIGIR2019

DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

Code for ICML21 spotlight paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"

QQ浏览器2021AI算法大赛赛道二 第1名 方案. Rank 1st solution to QQ Browser 2021 AI Algorithm Competition (CIKM AnalytiCup 2021) Track 2 Automated Hyperparameter Optimization.

CAT 作为服务端项目基础组件，提供了 Java, C/C++, Node.js, Python, Go 等多语言客户端，已经在美团点评的基础架构中间件框架（MVC框架，RPC框架，数据库框架，缓存框架等，消息队列，配置系统等）深度集成，为美团点评各业务线提供系统丰富的性能指标、健康状况、实时告警等。

A recommend system forked from APEX

Generalized and Efficient Blackbox Optimization System

Variational Autoencoder for Collaborative Filtering implementation in TensorFlow

SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks

A framework for large scale recommendation algorithms.

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Library for fast text representation and classification.

A distributed key-value storage system developed by Alibaba Group

TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018

量化研究-券商金工研报复现

一些CTR模型和常见特征工程的方法