recommendation_system121
A generic content-based filtering recommendation system that can be used for various types of content, including movies, news articles, gadgets, and shopping items.
Found 87 results for recommendation
A generic content-based filtering recommendation system that can be used for various types of content, including movies, news articles, gadgets, and shopping items.
A dynamic and configurable recommendation algorithm for personalized content.
Demo application for the NPM module Product-Recommender
A simple npm package that recommends travel destinations along with local food and drink options based on the specified country.
Product recommendation for e-commerce using tensorflow.js
The design expert on your team.
MCP Discovery & Recommendation Service - Find the right MCP server for your needs
A C++ implementation of generic exact Bayesian clustering. Uses O(2^n) memory and O(3^n) time.
install vscode extensions by referring extensions.json recommendations
Fetch structured data from Google Analytics
This package will help in accessing the user engagemet on e-commerce sites and generate analytics and generating suggestion based on them.
Good Enough Recommendations (GER) is a collaborative filtering based recommendations engine built to be easy to use and integrate into your application.
Clusterizes bundles based on an aggregated data
An Event Store Manager for Good Enough Recommendations (GER) using MySQL
Webpack plugins for the Machine Learning-driven bundler
Webpack plugins for the Machine Learning-driven bundler
Film recommendations
A library designed to suggest better email domains and reduce errors effectively.
Scrapes recommendations and genres from similarkind.
A React Native component for generating and displaying interactive rating and recommendation views
recommendation engine
A Collaborative Filtering Recommendation Engine for Node.js utilizing Redis
A random password generator
A Recommendation Engine built on Node.js utilizing Redis
Clusters chunks based on an aggregated data
An okay way to find user recommendations and similar users
Get Recommendation