recommendationRaccoon | collaborative filtering based recommendation engine and NPM
kandi X-RAY | recommendationRaccoon Summary
kandi X-RAY | recommendationRaccoon Summary
recommendationRaccoon is a JavaScript library. recommendationRaccoon has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i raccoon-heroku' or download it from GitHub, npm.
An easy-to-use 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 users, a store of products/movies/items, and the desire to give their users the ability to like/dislike and receive recommendations based on similar users. Raccoon takes care of all the recommendation and rating logic. It can be paired with any database as it does not keep track of any user/item information besides a unique ID. If you enjoy using this module, please contribute by trying the benchmark repo and helping to optimize raccoon. Thanks!
An easy-to-use 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 users, a store of products/movies/items, and the desire to give their users the ability to like/dislike and receive recommendations based on similar users. Raccoon takes care of all the recommendation and rating logic. It can be paired with any database as it does not keep track of any user/item information besides a unique ID. If you enjoy using this module, please contribute by trying the benchmark repo and helping to optimize raccoon. Thanks!
Support
Quality
Security
License
Reuse
Support
recommendationRaccoon has a low active ecosystem.
It has 755 star(s) with 133 fork(s). There are 25 watchers for this library.
It had no major release in the last 6 months.
There are 15 open issues and 28 have been closed. On average issues are closed in 407 days. There are 5 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of recommendationRaccoon is current.
Quality
recommendationRaccoon has no bugs reported.
Security
recommendationRaccoon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
recommendationRaccoon is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
recommendationRaccoon releases are not available. You will need to build from source code and install.
Deployable package is available in npm.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of recommendationRaccoon
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of recommendationRaccoon
recommendationRaccoon Key Features
No Key Features are available at this moment for recommendationRaccoon.
recommendationRaccoon Examples and Code Snippets
No Code Snippets are available at this moment for recommendationRaccoon.
Community Discussions
No Community Discussions are available at this moment for recommendationRaccoon.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install recommendationRaccoon
Raccoon keeps track of the ratings and recommendations from your users. It does not need to store any meta data of the user or product aside from an id. To get started:.
RACCOON_REDIS_URL
RACCOON_REDIS_PORT
RACCOON_REDIS_AUTH
RACCOON_REDIS_URL
RACCOON_REDIS_PORT
RACCOON_REDIS_AUTH
Support
Help optimize for the Movielens 100k data set. Here: https://github.com/guymorita/benchmark_raccoon_movielens
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page