Recommendation Engine
Showing 6 of 6 projects
A flexible, fast recommender engine for Python that integrates classic information filtering algorithms with scientific Python packages.
A comparative Python framework for building, evaluating, and deploying multimodal recommender systems with auxiliary data.
Music discovery tool that provides recommendations based on selected Lidarr artists using Last.fm.
A Neo4j-based library for building high-performance recommendation engines with real-time and pre-computed capabilities.
A collaborative filtering recommendation engine library for Go, implementing item-based and user-based approaches.
A C library for product recommendations using collaborative filtering with fast performance and minimal dependencies.
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