An open source recommender system service written in Go
Gorse is an open-source recommender system service written in Go that automatically trains models to generate personalized recommendations by importing items, users, and interaction data. It features a GUI dashboard for pipeline editing and system monitoring, RESTful APIs for data operations and recommendations, and supports multiple recommendation sources including collaborative filtering and LLM-based recommenders. This project is ideal for developers and organizations looking to quickly integrate a powerful, AI-driven recommendation engine into their online services.
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