243 Open source projects that are alternatives of or similar to Deep Learning For Recommendation Systems

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

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.

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.

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

Neural Graph Collaborative Filtering, SIGIR2019

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

recommender system tutorial with Python

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

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

Papers about recommendation systems that I am interested in

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

An open source recommender system service written in Go

A Comparative Framework for Multimodal Recommender Systems

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

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.

Summary of social recommendation papers and codes

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

📖Notes and remarks on Machine Learning related papers

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

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

Neural Collaborative Filtering

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

A Clojure library for querying large data-sets on similarity

UC Berkeley team's submission for RecSys Challenge 2018

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

阅读过的推荐系统论文的归类总结，持续更新中…

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

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

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.

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

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

Building recommender systems in Julia

Disentagnled Graph Collaborative Filtering, SIGIR2020

A python library for music recommendation

kNN-based next-basket recommendation

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

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.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

Deep learning for recommender systems

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

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"

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

Recommender systems for Go

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

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

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

6th Solution for 2020-KDDCUP Debiasing Challenge

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

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

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

KDD17_FMG

Towards A Standardized Tag Recommender Benchmarking Framework

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