Recommendation Packages

A Recommendation Engine built on Node.js utilizing Redis

Clusters chunks based on an aggregated data

Fetch structured data from Google Analytics

Finds the route declarations in your application.

Very liberal implementation of W3C XPath and XQuery functions 3.1

Demo application for the NPM module Product-Recommender

npm module that utilizes a python machine learning recommendation engine to give easy access to product recommendations.

Package implements connection recommender

install vscode extensions by referring extensions.json recommendations

Provide more-like-this search algorithm for MongoDB

Mongoose distance is a collection of Schema values for build a recommendation system in base of Mongoose.

A collaborative content recommendation system for Node.js based on Pearson correlation

collaborative filtering algorithms

An okay way to find user recommendations and similar users

Creates an API that can create a iframe to collect/receive user recommendations

Introducing the cutting-edge React Native app designed to revolutionize personalization and segmentation for e-commerce businesses. Our app harnesses the power of React Native, a powerful and widely adopted framework, to deliver a seamless cross-platform

Typescript SDK that simplifies development on Klevu backend. Klevu provides advanced AI-powered search and discovery solutions for online retailers.

Film recommendations

This package provides a NodeJS SDK for the [tearex.ai](https://tearex.ai) Recommendation Engine API. If you don't have a tearex.ai account, you can request one here: [tearex.ai](https://tearex.ai/#contact).

Good Enough Recommendations (GER) is a collaborative filtering based recommendations engine built to be easy to use and integrate into your application.