87 Open source projects that are alternatives of or similar to Cmfrec

📖Notes and remarks on Machine Learning related papers

a data science blog

Recommender Systems Paperlist that I am interested in

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Variational autoencoders for collaborative filtering

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

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Summary of social recommendation papers and codes

4 different recommendation engines for the MovieLens dataset.

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

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

Factorization Machine models in PyTorch

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

MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

Some common recommendation system baseline, with description and link.

Papers about recommendation systems that I am interested in

recommender system tutorial with Python

Large scale training of factorization models for Collaborative Filtering with PyTorch

Quick-Data-Science-Experiments

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

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

A unified, comprehensive and efficient recommendation library

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

UC Berkeley team's submission for RecSys Challenge 2018

Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.

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

Neural Graph Collaborative Filtering, SIGIR2019

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

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.

A collection of resources for Recommender Systems (RecSys)

推荐算法个人学习笔记以及代码实战

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

kNN-based next-basket recommendation

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

Recommender built using keras

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

Restricted Boltzmann Machine for collaborative filtering of movies.

A Comparative Framework for Multimodal Recommender Systems

Building recommender systems in Julia

A Clojure library for querying large data-sets on similarity

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

阅读过的推荐系统论文的归类总结，持续更新中…

collaborative filtering in mysql

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 configurable, tunable, and reproducible library for deep matching models

LibRec: A Leading Java Library for Recommender Systems, see

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.

Ranking made easy

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

pytorch version of neural collaborative filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

Next RecSys Library

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

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 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.

Personalized real-time movie recommendation system

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.

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