A unified, comprehensive and efficient recommendation library
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Updated
May 30, 2024 - Python
A unified, comprehensive and efficient recommendation library
Ten thousand books, six million ratings
Sci-Fi worth consuming
This is a repository of public data sources for Recommender Systems (RS).
👍👎 A recommendation engine using Likes and Dislikes for your Ruby app
recommender system tutorial with Python
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).
Java-Based Context-aware Recommendation Library
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Recommendations for secure applications development with Rust
Resources recommended by members of our community. We welcome contributions, so feel free to send us pull requests adding things to the list! The resources in this list automatically get pushed to the http://progdisc.club/resources page.
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Laravel Livewire Best Practices
CORE is a plug-and-play conversational agent for any recommender system.
Movie Recommendation System: Project using R and Machine learning
Neo4j Graph Example Movies Recommendation
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
Built-in Movie Graph Example
Privacy resources for the layperson. Highlights resources, tools, VPNs, search engines, articles, books, and dark patterns.
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