reinforcement learning for recommendation systems.

SR-GNN增加中文注释（学习版本）

TensorFlow implemenation of GRu4Rec model

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Linear UCB bandit learning algorithm L Li(2010) python code

[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

机器学习相关教程

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

Reproduce of Top-K Off-Policy Correction for a REINFORCE Recommender System

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

利用pandas将excel中数据抽取，以三元组形式加载到neo4j数据库中构建相关知识图谱

A TensorFlow Implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

关于一些经典论文源码的逐行中文笔记

Implementation of Model-Free Deep Reinforcement Learning methods for the recommender domain.

Auto Representation Learning and Matching for Recommendation system

Explore the potential of recommendation system using reinforcement learning

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

Graph Convolutional Networks in PyTorch

Tensorflow 2.0 implementation of SR-GNN

Implementation of Graph Convolutional Networks in TensorFlow

The code to reproduce the experimental results for "A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation".

Sequential Recommender System based on Hierarchical Attention Network