list_of_recommender_systems
Recommender systems catalog
A curated list of recommender systems and resources for software developers
A List of Recommender Systems and Resources
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last commit: 5 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 practical-recommender-systems/moviegeek | A Django-based website demonstrating how to implement recommender algorithms with a dataset from themoviedb.org API. | 906 |
 recommenders-team/recommenders | Provides best practices and examples for building recommendation systems using machine learning algorithms | 19,315 |
 preferredai/cornac | A tool for building and comparing multimodal recommender systems using various machine learning algorithms. | 884 |
 gorse-io/gorse | An engine for building and managing personalized recommendation systems | 8,621 |
 greenwolf-nsk/yandex-cup-2022-recsys | A recommender system built using multiple candidate selection and ranking methods for predicting next item likes in a streaming data environment. | 54 |
 tensorflow/recommenders | A software framework for building recommender systems using machine learning and deep learning techniques. | 1,849 |
 alibaba/easyrec | A framework for building and deploying scalable recommendation algorithms | 1,795 |
 mauriziofd/recsys2019_deeplearning_evaluation | An evaluation framework and repository of deep learning algorithms for recommendation systems | 983 |
 ghamrouni/recommender | A C-based system for predicting product recommendations using collaborative filtering algorithms | 264 |
 deepgraphlearning/recommendersystems | A comprehensive library of algorithms and techniques for building recommender systems | 1,102 |
 muesli/regommend | A simple recommendation system built on top of Go, allowing users to create tables with user ratings and retrieve personalized recommendations. | 314 |
 yihong-chen/neural-collaborative-filtering | An implementation of a deep learning-based framework for making recommendations using neural networks and matrix factorization. | 480 |
 joelcponte/shiny-app-spotify | An interactive app that uses machine learning and Spotify's API to provide personalized playlist recommendations based on selected artists. | 9 |
 fuxiailab/rl4rs | A collection of real-world datasets and practical reinforcement learning baselines for recommendation systems. | 220 |
 ocelma/python-recsys | A library for building and using collaborative filtering-based recommender systems | 1,475 |