255 Open source projects that are alternatives of or similar to Rankfm

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

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

Building recommender systems in Julia

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

Attention,Factorization Machine, Deep Learning, Recommender System

KDD17_FMG

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

Summary of social recommendation papers and codes

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

TenforFlow Implementation of Neural Factorization Machine

Large scale training of factorization models for Collaborative Filtering with PyTorch

UC Berkeley team's submission for RecSys Challenge 2018

🌊 FluRS: A Python library for streaming recommendation algorithms

Neural Collaborative Filtering

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.

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

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.

fastFM: A Library for Factorization Machines

Factorization Machine models in PyTorch

A Clojure library for querying large data-sets on similarity

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.

Some deep learning based recsys for open learning.

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

TensorFlow Implementation of Attentional Factorization Machine

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.

Papers about recommendation systems that I am interested in

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

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.

阅读过的推荐系统论文的归类总结，持续更新中…

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.

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

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

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

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.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Neural Graph Collaborative Filtering, SIGIR2019

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

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

📖Notes and remarks on Machine Learning related papers

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

kNN-based next-basket recommendation

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

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

recommender system tutorial with Python

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

An open source recommender system service written in Go

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

TensorFlow implementation of an arbitrary order Factorization Machine

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Next RecSys Library

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

Ranking made easy

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

Recurrence the recommender paper with Tensorflow2.0