Top 198 recommender-system open source projects

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

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

Accelerated deep learning R&D

Deep recommender models using PyTorch.

Classic papers and resources on recommendation

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

Recommendations for Ruby and Rails using collaborative filtering

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

TensorFlow implemenation of GRu4Rec model

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

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

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

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

📝 SZU Undergraduate Thesis -- Recommender System

Paper list of NLP for recommender systems

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

entity2rec generates item recommendation using property-specific knowledge graph embeddings

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

Recommender systems for Go

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

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

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

RiVal recommender system evaluation toolkit

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

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 !

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

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.

Sequential deep matching model for recommender system at Alibaba

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

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

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

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

6th Solution for 2020-KDDCUP Debiasing Challenge

KDD17_FMG

Towards A Standardized Tag Recommender Benchmarking Framework

Machine Learning Platform and Recommendation Engine built on Kubernetes

🍃 Recommender System in JavaScript for the MovieLens Database

Java-Based Context-aware Recommendation Library

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

🌊 FluRS: A Python library for streaming recommendation algorithms

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

Deep reinforcement learning for recommendation system

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

Neural Collaborative Filtering

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Exposure Matrix Factorization: modeling user exposure in recommendation

rnn based model for recommendations

An index of algorithms for learning causality with data

Recommender System Using Parallel Matrix Factorization

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

图像识别与推荐系统两类