265 Open source projects that are alternatives of or similar to Movielens Recommender System Javascript

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

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

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

Hybrid Recommender System

recommender system tutorial with Python

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

kNN-based next-basket recommendation

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

RiVal recommender system evaluation toolkit

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

A Comparative Framework for Multimodal Recommender Systems

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Reinforced Recommendation toolkit built around pytorch 1.7

RecDB is a recommendation engine built entirely inside PostgreSQL

A TensorFlow recommendation algorithm and framework in Python.

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.

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-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.

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

项亮的《推荐系统实践》的代码实现

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

Personalized real-time movie recommendation system

Recommender System Using Parallel Matrix Factorization

Building recommenders with Elastic Graph!

🍊 👎 Add-on for Orange3 to support recommender systems.

Attention,Factorization Machine, Deep Learning, Recommender System

An index of algorithms for learning causality with data

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

Deep reinforcement learning for recommendation system

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

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

🌊 FluRS: A Python library for streaming recommendation algorithms

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

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

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

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

《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

图像识别与推荐系统两类

fastFM: A Library for Factorization Machines

🎬instant recommending or finding or downloading movies via the command line

Prototype recommendation engine built to accompany an article on Toptal Blog

An open source recommender system service written in Go

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

A Deep Learning Recommender System

Java-Based Context-aware Recommendation Library

基于tensorflow的个性化电影推荐系统实战(有前端)

A unified, comprehensive and efficient recommendation library

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.

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

深度学习在推荐系统中的应用及论文小结。

Neural Collaborative Filtering

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.

Recurrence the recommender paper with Tensorflow2.0

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

An implementation of locality sensitive hashing with Hadoop

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.