197 Open source projects that are alternatives of or similar to Recommenders

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

Hybrid Recommender System

Papers about recommendation systems that I am interested in

基于 Pytorch 实现推荐系统相关的算法

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

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

Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

This is a repository of public data sources for Recommender Systems (RS).

RecDB is a recommendation engine built entirely inside PostgreSQL

A simple movie recommendation engine

content discovery... IN 3D

Reinforced Recommendation toolkit built around pytorch 1.7

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Neural Graph Collaborative Filtering, SIGIR2019

a recommender engine node-js package for general use and easy to integrate.

Deep Learning Computer Vision Algorithms for Real-World Use

Multiplicative LSTM for Recommendations

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

Efficient training of deep recommenders on cloud.

A Comparative Framework for Multimodal Recommender Systems

Multi-order Attentive Ranking Model for Sequential Recommendation

TenforFlow Implementation of Neural Factorization Machine

code for Gogleva et al manuscript

阅读过的推荐系统论文的归类总结，持续更新中…

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

TensorFlow Implementation of Attentional Factorization Machine

UC Berkeley team's submission for RecSys Challenge 2018

Music recommender using deep learning with Keras and TensorFlow

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

A Python implementation of LightFM, a hybrid recommendation algorithm.

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Machine Learning (EE 5184) in NTU

A Curated List of Must-read Papers on Recommender System.

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

Some algorithms about traditional and social recommendation.

SoulSeek client with web interface and recommender system

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

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

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

项亮的《推荐系统实践》的代码实现

Rank and serve recommendations

A Configurable Recommender Systems Simulation Platform

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

Papers on Computational Advertising

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

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.

GRu4Rec in TensorFlow

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

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

Some deep learning based recsys for open learning.

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

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

Recurrence the recommender paper with Tensorflow2.0

推荐系统

SASRec: Self-Attentive Sequential Recommendation

Материалы третьего набора офлайн-программы Data Scientist.