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RecommendationRaccoon is an NPM module that provides a collaborative‑filtering recommendation engine built on Node.js and Redis. It records simple like/dislike actions (by user and item IDs) and uses the Jaccard similarity coefficient plus a k‑nearest‑neighbors algorithm to generate personalized item recommendations, as well as global rating statistics. It’s aimed at developers who have a user base and a catalog of products, movies, or other items and want to add fast, Redis‑backed recommendation functionality to their applications.

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guymorita

guymorita/recommendationraccoon

A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity between users and k-nearest-neighbors to create recommendations. This module is useful for anyone with a database of users, a database of products/movies/items and the desire to give their users the ability to like/dislike and receive recommendations.

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MIT License