[Archive] Intern project - Recommendation system using MongoDB - This Repository is NOT a supported MongoDB product
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Updated
May 15, 2014 - Java
[Archive] Intern project - Recommendation system using MongoDB - This Repository is NOT a supported MongoDB product
This is the repo for 2014-15 Stanford CS221 Project
Prototype recommendation engine built to accompany an article on Toptal Blog
Pearson correlation coefficient calculator
Search and recommandation engine
A demo Rails / Angular app consuming predictionIO engine for recommendations
This repo contains the implementation of Data Mining algorithms like Decision Trees, Beam Search, Apriori algorithm and a recommendation system for predicting user rating for movies.
This repository contains materials for demos, tutorials, and talks by Dato Inc.
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
a restaurant website with a recommendation sysytem
Recommends Subreddits on Rails
A Collection of Tools Programmed in Python, use Python 3.5 or later
content-based recommendation system using numpy and scipy
building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.
A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.
Recommendations using collaborative filtering on Amazon's clothing dataset
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