6166 Open source projects that are alternatives of or similar to Recsys

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

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

深度学习在推荐系统中的应用及论文小结。

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

[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).

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.

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

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

RecDB is a recommendation engine built entirely inside PostgreSQL

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

Best Practices on Recommendation Systems

kNN-based next-basket recommendation

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

recommender system tutorial with Python

A news recommendation system tailored for user communities

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

🍃 Recommender System in JavaScript for the MovieLens Database

Music recommender using deep learning with Keras and TensorFlow

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

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

Collection of Artificial Intelligence projects.

This is the official repository for the Recommender Systems course at Politecnico di Milano.

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

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

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.

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

Reinforced Recommendation toolkit built around pytorch 1.7

Exposure Matrix Factorization: modeling user exposure in recommendation

《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

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

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.

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

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

A TensorFlow recommendation algorithm and framework in Python.

RiVal recommender system evaluation toolkit

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.

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

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Hybrid Recommender System

A Comparative Framework for Multimodal Recommender Systems

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.

Papers on Computational Advertising

Jupyter notebooks from the scikit-learn video series

DeepSurv is a deep learning approach to survival analysis.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

machine learning/artificial intelligence notes

Jupyter notebook integration with Spyder

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

Email Newsletter

Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development

周志华《机器学习》阅读笔记

platform for sleep hacking and research

Finding Lane Lines using Python and OpenCV

机器学习和量化分析学习进行中

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

Content for Microsoft Reactor Workshops