314 Open source projects that are alternatives of or similar to TIFUKNN

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 Comparative Framework for Multimodal Recommender Systems

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

recommender system tutorial with Python

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

UC Berkeley team's submission for RecSys Challenge 2018

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

Building recommender systems in Julia

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

Large scale training of factorization models for Collaborative Filtering with PyTorch

Personalized real-time movie recommendation system

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

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.

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 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 data science blog

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.

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Papers about recommendation systems that I am interested in

Some common recommendation system baseline, with description and link.

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.

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

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

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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.

阅读过的推荐系统论文的归类总结，持续更新中…

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

Machine learning for beginner(Data Science enthusiast)

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

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Neural Graph Collaborative Filtering, SIGIR2019

A unified, comprehensive and efficient recommendation library

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

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

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

推荐算法个人学习笔记以及代码实战

Neural Collaborative Filtering

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

An open source recommender system service written in Go

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

Summary of social recommendation papers and codes

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

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.

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.

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

Book recommender system using collaborative filtering based on Spark

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

This repository contains some datasets that I have collected in Recommender Systems.

📖Notes and remarks on Machine Learning related papers

A Clojure library for querying large data-sets on similarity

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

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.

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.