149 Open source projects that are alternatives of or similar to Machine-Learning

Best Practices on Recommendation Systems

RecDB is a recommendation engine built entirely inside PostgreSQL

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

Machine learning for beginner(Data Science enthusiast)

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

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

A simple movie recommendation engine

🛍️RetailBox - eCommerce Recommender System using Machine Learning

A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative filtering recommendation mechanisms using a deep learning supervisor

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

A Comparative Framework for Multimodal Recommender Systems

recommender system tutorial with Python

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

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

📊 A Recombee integration for Laravel

This is our implementation of DeepCoNN

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

TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018

🍃 Recommender System in JavaScript for the MovieLens Database

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

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

基于tensorflow的个性化电影推荐系统实战(有前端)

Prototype recommendation engine built to accompany an article on Toptal Blog

Book recommender system using collaborative filtering based on Spark

A TensorFlow recommendation algorithm and framework in Python.

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

naive bayes in php

Content-Based Recommender System recommends movies similar to the movie user likes and analyses the sentiments on the reviews given by the user for that movie.

Recommendation system for Stack Overflow unanswered questions

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

Personalized real-time movie recommendation system

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…

Papers on recommendation system / search ranking.

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

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

A Toolkit for Neural Review-based Recommendation models with Pytorch.

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

Applying Data Science and Machine Learning to Solve Real World Business Problems

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

《推荐系统实践》代码与读书笔记，在线阅读地址：https://relph1119.github.io/recommendation-system-practice-notes

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

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.

Disentagnled Graph Collaborative Filtering, SIGIR2020

A django app that builds item-based suggestions for users.

A unified, comprehensive and efficient recommendation library

深度学习在推荐系统中的应用及论文小结。

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

Reinforced Recommendation toolkit built around pytorch 1.7

An umbrella project for multiple implementations of model serving

🗞news scraping and recommendation system

Graph Neural Network

An Attention-Based User Behavior Modeling Framework for Recommendation

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

🐳基于 Flink 的商品实时推荐系统。使用了 redis 缓存热点数据。当用户产生评分行为时，数据由 kafka 发送到 flink，根据用户历史评分行为进行实时和离线推荐。实时推荐包括：基于行为和实时热门，离线推荐包括：历史热门、历史优质商品和 itemcf 。

Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising