Sci-Fi worth consuming
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Updated
Apr 24, 2024
Sci-Fi worth consuming
A unified, comprehensive and efficient recommendation library
👍👎 A recommendation engine using Likes and Dislikes for your Ruby app
Ten thousand books, six million ratings
Laravel Livewire Best Practices
This is a repository of public data sources for Recommender Systems (RS).
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).
Recommendations for secure applications development with Rust
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
recommender system tutorial with Python
CORE is a plug-and-play conversational agent for any recommender system.
Java-Based Context-aware Recommendation Library
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:https://progdisc.club/resources page.
Course on recommender systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2022-2023.
Privacy resources for the layperson. Highlights resources, tools, VPNs, search engines, articles, books, and dark patterns.
Neo4j Graph Example Movies Recommendation
Built-in Movie Graph Example
List of awesome apps and website for entertainment.
Add a description, image, and links to the recommendations topic page so that developers can more easily learn about it.
To associate your repository with the recommendations topic, visit your repo's landing page and select "manage topics."