Show HN: Jellyfin LocalRecs Plugin – 100% local ML-based movie recommendations (github.com)

The Jellyfin LocalRecs Plugin has been announced, featuring a privacy-focused approach to personalized movie recommendations that operates entirely on local servers. This plugin leverages each user's watch history and metadata similarity to generate tailored suggestions without the need for cloud services or tracking. It supports various Jellyfin clients, including web and mobile apps, and allows for easy integration into existing setups. This development is significant for the AI/ML community as it exemplifies a growing trend towards local processing for personalization, addressing user privacy concerns while utilizing advanced techniques such as TF-IDF embeddings and cosine similarity for content-based filtering. The plugin efficiently handles large libraries, providing recommendations that adjust based on individual viewing habits. Further, it includes features like auto-removal of recommendations once a user starts watching them, temporal similarity to suggest content from similar eras, and customizable parameters for recommendations. By eliminating reliance on external services, the LocalRecs Plugin empowers users to maintain control over their data while enhancing their viewing experience.