265 Open source projects that are alternatives of or similar to Recsys

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

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

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

kNN-based next-basket recommendation

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.

Hybrid Recommender System

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.

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

🍃 Recommender System in JavaScript for the MovieLens Database

🛍️RetailBox - eCommerce Recommender System using Machine Learning

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

RecDB is a recommendation engine built entirely inside PostgreSQL

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

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

RiVal recommender system evaluation toolkit

A TensorFlow recommendation algorithm and framework in Python.

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.

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

recommender system tutorial with Python

A Comparative Framework for Multimodal Recommender Systems

Reinforced Recommendation toolkit built around pytorch 1.7

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

图像识别与推荐系统两类

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

《推荐系统实践》代码与读书笔记，在线阅读地址：https://relph1119.github.io/recommendation-system-practice-notes

Building recommenders with Elastic Graph!

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

🍊 👎 Add-on for Orange3 to support recommender systems.

Neural Collaborative Filtering

fastFM: A Library for Factorization Machines

🎬instant recommending or finding or downloading movies via the command line

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

An open source recommender system service written in Go

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

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

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

A Deep Learning Recommender System

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

A unified, comprehensive and efficient recommendation library

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

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 user information in the Santander dataset.

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

基于tensorflow的个性化电影推荐系统实战(有前端)

Deep reinforcement learning for recommendation system

Exposure Matrix Factorization: modeling user exposure in recommendation

An implementation of locality sensitive hashing with Hadoop

深度学习在推荐系统中的应用及论文小结。

Recurrence the recommender paper with Tensorflow2.0

Flexible and extendable recommender system based on an abstract User-Product-Tag schema

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

rnn based model for recommendations

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

推荐系统

A Clojure library for querying large data-sets on similarity

Music recommender using deep learning with Keras and TensorFlow