351 Open source projects that are alternatives of or similar to Cornac

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

content discovery... IN 3D

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.

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

Best Practices on Recommendation Systems

Deep recommender models using PyTorch.

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

A C library for product recommendations/suggestions using collaborative filtering (CF)

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Papers about recommendation systems that I am interested in

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

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.

Neural Graph Collaborative Filtering, SIGIR2019

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

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

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

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

recommendation system with python

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Exposure Matrix Factorization: modeling user exposure in recommendation

An open source recommender system service written in Go

Machine learning for beginner(Data Science enthusiast)

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

A simple movie recommendation engine

Machine Learning Platform and Recommendation Engine built on Kubernetes

📊 A Recombee integration for Laravel

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

推荐算法个人学习笔记以及代码实战

🍃 Recommender System in JavaScript for the MovieLens Database

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Summary of social recommendation papers and codes

A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor

Recommendations for Ruby and Rails using collaborative filtering

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.

🌊 FluRS: A Python library for streaming recommendation algorithms

Lightweight Python library for in-memory matrix completion.

Examples of all Machine Learning Algorithm in Apache Spark

UC Berkeley team's submission for RecSys Challenge 2018

Hybrid Recommender System

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

A python library for music recommendation

基于 Pytorch 实现推荐系统相关的算法

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

Prototype recommendation engine built to accompany an article on Toptal Blog

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

Deep Recommenders

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

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

Efficient training of deep recommenders on cloud.

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

Rank and serve recommendations

Knowledge-aware recommendation papers.

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