recommendationRaccoon

I Use This!

Inactive

Analyzed 1 day ago. based on code collected 1 day ago.

Project Summary

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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In a Nutshell, recommendationRaccoon...

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has had 151 commits made by 6 contributors
representing 835 lines of code
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is mostly written in JavaScript
with a low number of source code comments
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has a well established, mature codebase
maintained by nobody
with stable Y-O-Y commits
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took an estimated 1 years of effort (COCOMO model)
starting with its first commit in July, 2013
ending with its most recent commit about 6 years ago

Quick Reference

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Code Locations:

https://github.com/guymorita/rec...

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Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

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Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities

Few reported vulnerabilities

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