166 Open source projects that are alternatives of or similar to Person-Recommendation-Algorithms

Book recommender system using collaborative filtering based on Spark

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

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

a data science blog

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

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

recommender system tutorial with Python

A unified, comprehensive and efficient recommendation library

Some common recommendation system baseline, with description and link.

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

Personalized real-time movie recommendation system

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

kNN-based next-basket recommendation

Summary of social recommendation papers and codes

Recommender built using keras

Oh-My-Papers: a Hybrid Context-aware Paper Recommendation System

Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access, online demo: https://mudrod.jpl.nasa.gov/#/

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.

Examples of all Machine Learning Algorithm in Apache Spark

Collection of diverse recommendation papers

Restricted Boltzmann Machine for collaborative filtering of movies.

📊 A Recombee integration for Laravel

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

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

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Papers on recommendation system / search ranking.

collaborative filtering in mysql

ECNU ICA seminar materials

A github repository suggestion system

推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo

Using efficientnet to provide embeddings for retrieval

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

Yum-me is a nutrient based food recommendation system

A package for interleaving / multileaving ranking generation in go

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

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

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.

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

Prototype recommendation engine built to accompany an article on Toptal Blog

Recommendation system for Stack Overflow unanswered questions

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.

Machine learning for beginner(Data Science enthusiast)

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

Pytorch implementation of BERT4Rec and Netflix VAE.

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

🗞news scraping and recommendation system

Building recommender systems in Julia

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Small command line utility which allows you to extract DFM, LFM and FRM forms from executable files compiled by Delphi, Lazarus and CodeTyphon.

Compatibility Family Learning for Item Recommendation and Generation

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

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

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

Lightweight Python library for in-memory matrix completion.

A curated list of awesome graph & self-supervised-learning-based recommendation.