586 Open source projects that are alternatives of or similar to Recommender System

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

recommender system tutorial with Python

UC Berkeley team's submission for RecSys Challenge 2018

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

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.

A Clojure library for querying large data-sets on similarity

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.

An open source recommender system service written in Go

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.

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

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.

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

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

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

Neural Graph Collaborative Filtering, SIGIR2019

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

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

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

Neural Collaborative Filtering

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

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Summary of social recommendation papers and codes

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.

Building recommender systems in Julia

阅读过的推荐系统论文的归类总结，持续更新中…

📖Notes and remarks on Machine Learning related papers

kNN-based next-basket recommendation

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Knowledge-aware recommendation papers.

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

code for Gogleva et al manuscript

Paper list of NLP for recommender systems

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

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Papers about recommendation systems that I am interested in

Music recommender using deep learning with Keras and TensorFlow

A Comparative Framework for Multimodal Recommender Systems

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 unified, comprehensive and efficient recommendation library

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

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.

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

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

Recommendations for Ruby and Rails using collaborative filtering

Distributed Keras Engine, Make Keras faster with only one line of code.

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

Deep recommender models using PyTorch.

degdb: distributed economic graph database

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

Several data modalities for KBs (visual, numerical, temporal, etc.)