Recommendations for Node.js using collaborative filtering
Lightweight Item-Based Collaborative Filtering Recommendation System
A lightweight implementation of collaborative filtering.
A recommendation engine for products using Apriori and collaborative filtering.
Simple collaborative-filtering module
A powerful TensorFlow.js-based collaborative filtering recommendation system
A Collaborative Filtering Recommendation Engine for Node.js utilizing Redis
Recommendation Engine based on Collaborative Filtering
Package implements recommender system based on content collaborative filtering algorithm
A Collaborative Filtering Recommendation Engine for Node.js utilizing Redis
Jogoo is collaborative filtering library.
Good Enough Recommendations (GER) is a collaborative filtering based recommendations engine built to be easy to use and integrate into your application.
collaborative filtering algorithms
Collaborative Filtering Library for Node.js
A Collaborative Filtering Recommendation Engine for Node.js utilizing Redis
Deployd module that gives access to the Raccoon collaborative filtering engine
A Collaborative Filtering Recommendation Engine for Node.js utilizing Redis with azure redis connection
Collaborative editing for ProseMirror
A Collaborative Filtering Recommendation Engine for Node.js utilizing Redis
The library provides Yjs editor bindings for Lexical.
HTTP server mocking and expectations library for Node.js
Good Enough Recommendations (GER) is a collaborative filtering based recommendations engine built to be easy to use and integrate into your application.
Shared Editing Library
Collection of libraries for building collaborative editing apps.
It provides you easy way to calculate collaborative filtering using pearson correlation coefficient.
Playground for collaborative filtering in Ruby using NArray and rb-gsl.
Recommendations for Ruby and Rails using collaborative filtering
Recommendify is a distributed, incremental item-based recommendation engine for binary input ratings. It's based on ruby and redis and uses an approach called "Collaborative Filtering"
A Collaborative Filtering framework in Ruby.
Meal recommedation engine based on collaborative filtering
Recommendify is a distributed, incremental item-based recommendation engine for binary input ratings. It's based on ruby and redis and uses an approach called "Collaborative Filtering"
Recommendify is a distributed, incremental item-based recommendation engine for binary input ratings. It's based on ruby and redis and uses an approach called "Collaborative Filtering"
Uses both collaborative and content-based filtering methods to enable a complex, hybrid recommendation engine.
Collaborative filtering for recommender system
Implementation of the weighted Slope One collaborative filtering/recommendation algorithm.
This gem provides recommendations by calculating similarity scores using the Jaccard Index, Dice-Sørensen Coefficient, and collaborative filtering.
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