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

📖Notes and remarks on Machine Learning related papers

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

Neural Collaborative Filtering

UC Berkeley team's submission for RecSys Challenge 2018

阅读过的推荐系统论文的归类总结，持续更新中…

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 Clojure library for querying large data-sets on similarity

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.

Summary of social recommendation papers and codes

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

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

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

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Papers about recommendation systems that I am interested in

Large scale training of factorization models for Collaborative Filtering with PyTorch

A Comparative Framework for Multimodal Recommender Systems

An open source recommender system service written in Go

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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.

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.

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

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

kNN-based next-basket recommendation

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

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

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

recommender system tutorial with Python

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

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

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

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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.

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.

Building recommender systems in Julia

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.

Neural Graph Collaborative Filtering, SIGIR2019

Материалы третьего набора офлайн-программы Data Scientist.

Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

A collection of resources for Recommender Systems (RecSys)

A simple movie recommendation engine

基于 Pytorch 实现推荐系统相关的算法

Deep Learning Computer Vision Algorithms for Real-World Use

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Some algorithms about traditional and social recommendation.

TenforFlow Implementation of Neural Factorization Machine

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

Machine Learning (EE 5184) in NTU

a recommender engine node-js package for general use and easy to integrate.

Variational autoencoders for collaborative filtering

项亮的《推荐系统实践》的代码实现