265 Open source projects that are alternatives of or similar to Graph Networks

🛍️RetailBox - eCommerce Recommender System using Machine Learning

recommender system tutorial with Python

Basic Movie Recommendation Web Application using user-item collaborative filtering.

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

RecDB is a recommendation engine built entirely inside PostgreSQL

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

RiVal recommender system evaluation toolkit

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

This repository contains some datasets that I have collected in Recommender Systems.

项亮的《推荐系统实践》的代码实现

An index of recommendation algorithms that are based on Graph Neural Networks.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

A Comparative Framework for Multimodal Recommender Systems

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

🍃 Recommender System in JavaScript for the MovieLens Database

Hybrid Recommender System

kNN-based next-basket recommendation

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Reinforced Recommendation toolkit built around pytorch 1.7

A TensorFlow recommendation algorithm and framework in Python.

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

A recommender system for discovering GitHub repos, built with Apache Spark

6th Solution for 2020-KDDCUP Debiasing Challenge

Towards A Standardized Tag Recommender Benchmarking Framework

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

Collection of Artificial Intelligence projects.

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

A news recommendation system tailored for user communities

KDD17_FMG

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Paper list of NLP for recommender systems

Machine Learning Platform and Recommendation Engine built on Kubernetes

Best Practices on Recommendation Systems

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

Java-Based Context-aware Recommendation Library

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

🌊 FluRS: A Python library for streaming recommendation algorithms

基于tensorflow的个性化电影推荐系统实战(有前端)

跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。功能强大，使用方便。欢迎star & fork。Build together! Power another !

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

This is the official repository for the Recommender Systems course at Politecnico di Milano.

Graph Neural Network

entity2rec generates item recommendation using property-specific knowledge graph embeddings

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

Deep reinforcement learning for recommendation system

A Toolkit for Neural Review-based Recommendation models with Pytorch.

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

Prototype recommendation engine built to accompany an article on Toptal Blog

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Sequential deep matching model for recommender system at Alibaba

Neural Collaborative Filtering

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

Exposure Matrix Factorization: modeling user exposure in recommendation

rnn based model for recommendations