87 Open source projects that are alternatives of or similar to Competitive Recsys

Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"

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

Some common recommendation system baseline, with description and link.

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

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

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

Lightweight Python library for in-memory matrix completion.

UC Berkeley team's submission for RecSys Challenge 2018

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

recommender system tutorial with Python

Summary of social recommendation papers and codes

Using Deep Autoencoders for predictions of movie ratings.

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

4 different recommendation engines for the MovieLens dataset.

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

📖Notes and remarks on Machine Learning related papers

A C library for product recommendations/suggestions using collaborative filtering (CF)

Recommender Systems Paperlist that I am interested in

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.

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

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 data science blog

collaborative filtering in mysql

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.

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

A configurable, tunable, and reproducible library for deep matching models

LibRec: A Leading Java Library for Recommender Systems, see

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.

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.

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

A Comparative Framework for Multimodal Recommender Systems

Disentagnled Graph Collaborative Filtering, SIGIR2020

推荐算法个人学习笔记以及代码实战

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

pytorch version of neural collaborative filtering

Book recommender system using collaborative filtering based on Spark

kNN-based next-basket recommendation

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

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

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

Recommender built using keras

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

基于协同过滤的书籍推荐系统

Restricted Boltzmann Machine for collaborative filtering of movies.

A tour through recommendation algorithms in python [IN PROGRESS]

阅读过的推荐系统论文的归类总结，持续更新中…

Deep learning for recommender systems

Building recommender systems in Julia

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)

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

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

Variational autoencoders for collaborative filtering

Papers about recommendation systems that I am interested in

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

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

Quick-Data-Science-Experiments