107 Open source projects that are alternatives of or similar to Recommend

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

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

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.

LibRec: A Leading Java Library for Recommender Systems, see

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

Four word embedding models implemented in Python. Supporting arbitrary context features

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

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

Papers about recommendation systems that I am interested in

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

阅读过的推荐系统论文的归类总结，持续更新中…

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.

pytorch version of neural collaborative filtering

A unified, comprehensive and efficient recommendation library

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

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

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

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.

Ranking made easy

📖Notes and remarks on Machine Learning related papers

Neural Graph Collaborative Filtering, SIGIR2019

Natural Language Processing for Lithuanian language

Some common recommendation system baseline, with description and link.

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

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

A Comparative Framework for Multimodal Recommender Systems

MXNet for CTR

Recommender Systems Paperlist that I am interested in

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

Research on Collaborative Filtering Algorithms

A collection of resources for Recommender Systems (RecSys)

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

4 different recommendation engines for the MovieLens dataset.

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.

UC Berkeley team's submission for RecSys Challenge 2018

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

Next RecSys Library

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

A recommendation system using tensorflow

Digital Image Watermarking Method Based on Hybrid DWT-HD-SVD Technique: Attacks, PSNR, SSIM, NC

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

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.

Singular Value Decomposition for generic number types

推荐算法个人学习笔记以及代码实战

A Python scikit for building and analyzing recommender systems

kNN-based next-basket 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.

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Factorization Machine models in PyTorch

Recommender built using keras

Personalized real-time movie recommendation system

Restricted Boltzmann Machine for collaborative filtering of movies.

H2Oai GPU Edition

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

An open source recommender system service written in Go

A Clojure library for querying large data-sets on similarity