241 Open source projects that are alternatives of or similar to BPR_MPR

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

Summary of social recommendation papers and codes

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

Building recommender systems in Julia

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Fast Python Collaborative Filtering for Implicit Feedback Datasets

UC Berkeley team's submission for RecSys Challenge 2018

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

An open source recommender system service written in Go

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

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.

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

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.

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.

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

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

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

Papers about recommendation systems that I am interested in

阅读过的推荐系统论文的归类总结，持续更新中…

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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.

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

Large scale training of factorization models for Collaborative Filtering with PyTorch

📖Notes and remarks on Machine Learning related papers

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.

Neural Collaborative Filtering

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

kNN-based next-basket recommendation

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

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.

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

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

A Comparative Framework for Multimodal Recommender Systems

Neural Graph Collaborative Filtering, SIGIR2019

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

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

recommender system tutorial with Python

This is our implementation of SAMN: Social Attentional Memory Network

Knowledge-aware recommendation papers.

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.

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

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

Tool for autodownloading recommendation systems datasets

Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation

a data science blog

推荐算法个人学习笔记以及代码实战

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

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

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

DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.

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-…

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Quick-Data-Science-Experiments

A python library for music recommendation