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

recommender system tutorial with Python

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

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.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

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.

RecDB is a recommendation engine built entirely inside PostgreSQL

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

kNN-based next-basket recommendation

Building recommender systems in Julia

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

Some common recommendation system baseline, with description and link.

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.

Java-Based Context-aware Recommendation Library

📖Notes and remarks on Machine Learning related papers

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

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

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

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

Recommendations for Ruby and Rails using collaborative filtering

LibRec: A Leading Java Library for Recommender Systems, see

Lightweight Python library for in-memory matrix completion.

Deep recommender models using PyTorch.

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"

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

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.

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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 Recombee integration for Laravel

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Examples of all Machine Learning Algorithm in Apache Spark

Summary of social recommendation papers and codes

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Machine learning for beginner(Data Science enthusiast)

Quick-Data-Science-Experiments

阅读过的推荐系统论文的归类总结，持续更新中…

pytorch version of neural collaborative filtering

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

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.

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

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

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

content discovery... IN 3D

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

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.

a data science blog

recommendation system with python

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

UC Berkeley team's submission for RecSys Challenge 2018

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

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