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17 search results found

Recommendable ⭐ 1,344

👍👎 A recommendation engine using Likes and Dislikes for your Ruby app

Recommendationraccoon ⭐ 690

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.

Content Engine ⭐ 506

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.

Letterboxd_recommendations ⭐ 190

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Simple recommendation engine implementation built on top of Redis

Mosaic Films Recommendation Engine Demo ⭐ 78

Mosaic Films is a demo of the recommendationRaccoon engine. It is a full installation of the module that takes advantage of lightning fast recommendations powered by Redis and a simple user interface. It comes complete with sample content and tests.

Movie Recommender Demo ⭐ 50

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

Redis Recommend ⭐ 34

Simple Redis Go recommendation engine

Redis Recommend ⭐ 29

PHP and wrapping Redis's sorted set APIs for specializing recommending operations.

A ruby gem to find similar patterns and offer recommendations

🔥 delivery recommendation system

Recsys_pipeline ⭐ 16

Build Recommender System with PyTorch + Redis + Elasticsearch + Feast + Triton + Flask. Vector Recall, DeepFM Ranking and Web Application.

Githubsocial ⭐ 15

Collaborative repository recommendations based on GitHub stars

Redis Recsys ⭐ 11

Three examples of recommendation system pipelines with NVIDIA Merlin and Redis

News Recommendation System ⭐ 7

An internet news aggregator, providing hot news, with recommendation feature based on users' preference. #Tech Stack: React/Redux, Node.js, Express, Python, MongoDB, Redis, Tensorflow

Newsrecommendation ⭐ 6

Recommendr ⭐ 5

Item and user based recommendation engine, in Python, backed by Redis

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