Best Practices on Recommendation Systems
-
Updated
Jul 29, 2025 - Python
Best Practices on Recommendation Systems
Deep learning for recommender systems
A Comparative Framework for Multimodal Recommender Systems
RecTools - library to build Recommendation Systems easier and faster than ever before
Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Site de recommandation de mangas et d'anime
Deep learning based image similarity search for product recommendations
A simple movie recommendation engine
Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.
⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
Recommendation Models in TensorFlow
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.
Predict and recommend the news articles, user is most likely to click in real time.
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
SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments
GoodWatch is a unique take on discovering movies and shows.
Music Recommendation Service
Recommendation engine framework based on Wikipedia data
Add a description, image, and links to the recommendation-engine topic page so that developers can more easily learn about it.
To associate your repository with the recommendation-engine topic, visit your repo's landing page and select "manage topics."