Recommender Open Source Projects

Best Practices on Recommendation Systems

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

A Python scikit for building and analyzing recommender systems

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

A Python implementation of LightFM, a hybrid recommendation algorithm.

A List of Recommender Systems and Resources

A unified, comprehensive and efficient recommendation library

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Classic papers and resources on recommendation

LibRec: A Leading Java Library for Recommender Systems, see

Deep recommender models using PyTorch.

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

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

A taggable image board written in Rails.

A Deep Learning Recommender System

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).

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

A python library for implementing a recommender system

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

大数据/数据挖掘/推荐系统/机器学习相关资源

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Next RecSys Library

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

LensKit recommender toolkit.

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

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

Quiz & Assignment of Coursera

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

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

key Deep Learning engineering tricks in recsys

A Configurable Recommender Systems Simulation Platform

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

Highly configurable recommender based on PredictionIO and Mahout's Correlated Cross-Occurrence algorithm

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

Recommendations for Ruby and Rails using collaborative filtering

A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user

A library of metrics for evaluating recommender systems

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

A recommender systems development and evaluation package by Mendeley

This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.

推荐系统综述

A collection of resources for Recommender Systems (RecSys)

Machine learning movie recommending system

recommender system library for the CLR (.NET)

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Versatile End-to-End Recommender System

混合音乐推荐系统——Track Stacking——毕业设计

Recommender Systems Paperlist that I am interested in

A Live Movie Rating Dataset Collected From Twitter

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

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Applying Data Science and Machine Learning to Solve Real World Business Problems

Book recommender system using collaborative filtering based on Spark

Python-based framework for building and evaluating session-based and session-aware recommender systems.

阅读过的推荐系统论文的归类总结，持续更新中…