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Package implements recommender system based on content collaborative filtering algorithm
- recommender
- content collaborative filtering
- movie rating
- gradient descient
- recommender system
- content based recommendation
- machine learning
- unsupervised learning
Good Enough Recommendations (GER) is a collaborative filtering based recommendations engine built to be easy to use and integrate into your application.
A simple content-based recommender implemented in javascript
Provides a GUI web app that allows users to examine their data in detail. Includes CSV export functionality.
Provides "people you should follow" or other graph-based recommendations
Generic graph library in Typescript
- graphs
- typed graph
- graph library
- graph theory
- graph analysis
- network
- networking
- networking library
- network mining
- recommender
- attributed graph
- mixed mode graph
- heterogenous graph
- node types
- View more
A Very Good Recommendation Engine
An npm library for contextual bandits
Wrapper for the Flike Recommendation API.
Improve user´s average time on page of your Gridsome site by generating post or product recommendations to show users related content, ads or products they might be interested in on your static site.
- gridsome
- gridsome-plugin
- recommender
- recommendations
- similar posts
- similar products
- post recommendations
- product recommendations
- affiliate
- advertising
- tagging
- machine learning
- automation
- shopify
A node native addon with recommentaion utils
A decentralized recommender built on top of IPFS.
A simple content-based recommender implemented in javascript
A random password generator
- password
- passworizer
- generator
- random
- password generator
- random password
- random password generator
- random generator
- recommendation
- recommender
Vestfoy smart size charts react package
Simple wrapper for vowpal wabbit's recommendation engine
this module is using for calculating the cosine similarity and vector space model using tfidf
Relewise data enhancers for Uniform Canvas
Predict likes based on a library of attributes
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