Sci-Fi worth consuming
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Updated
Dec 22, 2025
Sci-Fi worth consuming
A unified, comprehensive and efficient recommendation library
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
👍👎 A recommendation engine using Likes and Dislikes for your Ruby app
This is a repository of public data sources for Recommender Systems (RS).
Laravel Livewire Best Practices
Ten thousand books, six million ratings
Recommendations for secure applications development with Rust
《推荐系统:工业架构与核心算法》开源书稿
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Better Github Star History charts, and repository recommendation engine
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
AI-powered music discovery for your *arr stack. Recommends artists and individual albums through a 7-stage AI pipeline, scores and ranks them, and learns from your feedback -- approve a single album without grabbing the whole discography. Supports Lidarr, Spotify, Navidrome, Jellyfin, Plex. Self-hosted, open source.
Course on Recommender Systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2025/2026.
List of awesome apps and website for entertainment.
A curated list of technical standards, they may be called requests for comments, proposals, drafts, notes, specifications, or something else
recommender system tutorial with Python
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
Java-Based Context-aware Recommendation Library
CORE is a plug-and-play conversational agent for any recommender system.
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