113 Open source projects that are alternatives of or similar to Recommender

Neural Graph Collaborative Filtering, SIGIR2019

Factorization Machine models in PyTorch

A collection of resources for Recommender Systems (RecSys)

Variational autoencoders for collaborative filtering

Neo4j-based recommendation engine module with real-time and pre-computed recommendations.

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

Papers about recommendation systems that I am interested in

RecDB is a recommendation engine built entirely inside PostgreSQL

Recommender Systems Paperlist that I am interested in

阅读过的推荐系统论文的归类总结，持续更新中…

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

LibRec: A Leading Java Library for Recommender Systems, see

4 different recommendation engines for the MovieLens dataset.

pytorch version of neural collaborative filtering

A simple movie recommendation engine

UC Berkeley team's submission for RecSys Challenge 2018

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

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

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

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

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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

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.

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

推荐算法个人学习笔记以及代码实战

📖Notes and remarks on Machine Learning related papers

kNN-based next-basket recommendation

Deep learning based image similarity search for product recommendations

Some common recommendation system baseline, with description and link.

Recommender built using keras

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

Restricted Boltzmann Machine for collaborative filtering of movies.

Building recommender systems in Julia

a data science blog

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

ML-powered Music Recommendation Engine

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Quick-Data-Science-Experiments

collaborative filtering in mysql

Summary of social recommendation papers and codes

Examples of all Machine Learning Algorithm in Apache Spark

A configurable, tunable, and reproducible library for deep matching models

📊 A Recombee integration for Laravel

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.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Machine learning for beginner(Data Science enthusiast)

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Lightweight Python library for in-memory matrix completion.

Book recommender system using collaborative filtering based on Spark