643 Open source projects that are alternatives of or similar to Summary Of Recommender System Papers

UC Berkeley team's submission for RecSys Challenge 2018

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

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

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

recommender system tutorial with Python

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.

Neural Collaborative Filtering

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

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

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

kNN-based next-basket recommendation

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.

텍스트 요약 분야의 주요 연구 주제, Must-read Papers, 이용 가능한 model 및 data 등을 추천 자료와 함께 정리한 저장소입니다.

Neural Graph Collaborative Filtering, SIGIR2019

A Comparative Framework for Multimodal Recommender Systems

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.

An open source recommender system service written in Go

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

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

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

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Summary of social recommendation papers and codes

Disentagnled Graph Collaborative Filtering, SIGIR2020

📖Notes and remarks on Machine Learning related papers

Summary of machine learning papers

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.

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

Building recommender systems in Julia

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

Papers about recommendation systems that I am interested in

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.

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.

A Clojure library for querying large data-sets on similarity

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

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.

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

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

paper summary of Association for Computational Linguistics

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

Summaries of machine learning papers

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

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

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 pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"

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

General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

4 different recommendation engines for the MovieLens dataset.

Repo for the paper "SymPy: symbolic computing in python"

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

Paper backup generator suitable for long-term storage.

A simple movie recommendation engine

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

LibRec: A Leading Java Library for Recommender Systems, see