675 Open source projects that are alternatives of or similar to recommender

recommender system tutorial with Python

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

A Comparative Framework for Multimodal Recommender Systems

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

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

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

kNN-based next-basket recommendation

🛍️RetailBox - eCommerce Recommender System using Machine Learning

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

RecDB is a recommendation engine built entirely inside PostgreSQL

Best Practices on Recommendation Systems

LibRec: A Leading Java Library for Recommender Systems, see

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.

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

Book recommender system using collaborative filtering based on Spark

.NET 5 Nuget Packages.

Runtime parser for string expressions (formulas, method calls). Builds dynamic LINQ expression tree and compiles it to lambda delegate.

Barcode generation library written in C# and .NET Standard 2

Simple repository containing one simple example for all existing patterns in C#

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

GatewayService (Ocelot).

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

Visualize unit test code coverage easily for free in Visual Studio Community Edition (and other editions too)

📊 A Recombee integration for Laravel

Examples of all Machine Learning Algorithm in Apache Spark

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

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

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

A friendly substitute for .NET mocking libraries.

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

.NET 6, ASP.NET Core 6, Entity Framework Core 6, C# 10, Angular 13, Clean Code, SOLID, DDD.

Fast DB-independent DAL for .NET Core: abstract queries, SQL commands builder, schema-less data access, POCO mapping (micro-ORM).

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

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.

Machine learning for beginner(Data Science enthusiast)

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

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.

Disentagnled Graph Collaborative Filtering, SIGIR2020

Multi-order Attentive Ranking Model for Sequential Recommendation

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Building recommender systems in Julia

a data science blog

Hybrid Recommender System

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

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.

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

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.

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

Some common recommendation system baseline, with description and link.

Recommender built using keras

ChatService (SignalR).

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

A framework for large scale recommendation algorithms.

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.

📖Notes and remarks on Machine Learning related papers

推荐算法个人学习笔记以及代码实战