244 Open source projects that are alternatives of or similar to RecSys_PyTorch

Summary of social recommendation papers and codes

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

A Clojure library for querying large data-sets on similarity

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

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

Neural Graph Collaborative Filtering, SIGIR2019

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

阅读过的推荐系统论文的归类总结，持续更新中…

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

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

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

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.

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

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.

Papers about recommendation systems that I am interested in

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

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.

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 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

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

recommender system tutorial with Python

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.

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

📖Notes and remarks on Machine Learning related papers

kNN-based next-basket recommendation

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

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

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

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

UC Berkeley team's submission for RecSys Challenge 2018

Large scale training of factorization models for Collaborative Filtering with PyTorch

Neural Collaborative Filtering

Building recommender systems in Julia

Recommendation based on sequence

Factorization Machine, Deep Learning, Recommender System

Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course

Tool for autodownloading recommendation systems datasets

Recommend system learning resources and learning notes

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

collaborative filtering in mysql

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

This is our implementation of SAMN: Social Attentional Memory Network

a data science blog

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

Lightweight Python library for in-memory matrix completion.

毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

Search/Recommendation engine and metainformation server for fanfiction net

Book recommender system using collaborative filtering based on Spark

Fashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System