Best Practices on Recommendation Systems

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

A Python scikit for building and analyzing recommender systems

Classic papers and resources on recommendation

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

This repository includes some papers that I have read or which I think may be very interesting.

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

Neural Graph Collaborative Filtering, SIGIR2019

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

RecDB is a recommendation engine built entirely inside PostgreSQL

Papers about recommendation systems that I am interested in

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

Deep-Learning based CTR models implemented by PyTorch

Automatic insights discovery and visualization for data analysis.

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

“Chorus” of recommendation models: a PyTorch framework for Top-K recommendation with implicit feedback.

A recommendation system using tensorflow

电影推荐系统、电影推荐引擎、使用Spark完成的电影推荐引擎

A tutorial series by Preferred.AI

An awesome paper reading list with focus on search, recommendation, and NLP

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

基于tensorflow的个性化电影推荐系统实战

Beatmap suggester for osu!

A simple movie recommendation engine