285 Open source projects that are alternatives of or similar to Consimilo

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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.

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

Papers about recommendation systems that I am interested in

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

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

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

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

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

Building recommender systems in Julia

阅读过的推荐系统论文的归类总结，持续更新中…

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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 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.

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

Summary of social recommendation papers and codes

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

📖Notes and remarks on Machine Learning related papers

recommender system tutorial with Python

A Comparative Framework for Multimodal Recommender Systems

UC Berkeley team's submission for RecSys Challenge 2018

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

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.

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.

Neural Graph Collaborative Filtering, SIGIR2019

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

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

Neural Collaborative Filtering

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

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.

A library implementing different string similarity and distance measures using Python.

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

A toolkit for record linkage and duplicate detection in Python

推荐系统

Personalized real-time movie recommendation system

fastFM: A Library for Factorization Machines

Music recommender using deep learning with Keras and TensorFlow

🎬instant recommending or finding or downloading movies via the command line

Some algorithms about traditional and social recommendation.

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

Best Practices, code samples, and documentation for Computer Vision.

Building recommenders with Elastic Graph!

A Deep Learning Recommender System

综合了同义词词林扩展版与知网（Hownet）的词语相似度计算方法，词汇覆盖更多、结果更准确。

A Configurable Recommender Systems Simulation Platform

Factorization Machine models in PyTorch

A collection of resources for Recommender Systems (RecSys)