RecTools - library to build Recommendation Systems easier and faster than ever before

A Comparative Framework for Multimodal Recommender Systems

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

How Pytorch implementation of SimpleX model training logic might look like in production

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

A framework for large scale recommendation algorithms.

The project of Cogito with Infor

購入履歴により自動的に提案する仕組み

In this project, we have explored the research paper titled Variational Autoencoders for Collaborative Filtering and implemented its findings. We aim to further improve upon the proposed methodology to contribute to the advancement of personalized recommendations and push the boundaries of existing techniques.

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

Web App to measure novelty and diversity of Recommender Systems algorithms

in this section will be item based recommender on movies and ratings dataset

Source code for Twitter's Recommendation Algorithm.

This repository contains code for the Recommendation system to find restaurants. An End to End Project developed using Flask and python. The website is hosted on Heroku.

2021년 경상북도 데이터 경진대회 | 추천 알고리즘을 이용한 맞춤형 식품 추천 서비스

Developing recommendation systems to replicate NETFLIX's user experience. Implemented Popularity Ranking, Memory-Based Collaborative Filtering (User-Based and Item-Based), and a Random Recommender.

Recommendation Systems course at AGH UST 2023/2024. This repository is packed with Jupyter Notebook files, written in Python, to guide you through the theory and implementation of recommendation algorithms.