JavaScript implementation of Collaborative Filtering
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Updated
May 7, 2017 - JavaScript
JavaScript implementation of Collaborative Filtering
movie recommendation system
Movie Recommendation Web App with NodeJS/ExpressJS and MySQL as server using Collaborative filtering.
A MEAN stack application that provides recent news stories to users using combined recommendation technique (content based & collaborative filtering) and IBM Natural Language Understanding
This is a book analysis and recommendation system made in python and by using django framework, KNN, TF-IDF algorithm
Hệ thống tư vấn thông tin (dữ liệu) cơ bản - Sử dụng phương pháp lọc cộng tác, ngôn ngữ PHP, dữ liệu được lưu trữ và truy xuất qua hệ CSDL (MySQL)
A movie suggestion engine that recommends movies based on a movie that a user already watched and liked.
music recommendation and analytics (map reduce, hadoop)
Movie recommendation system
I developed a simple content-based recommendation system that suggests movies to users based on their preferences. Users can enter a movie they like, and the system recommends other movies with similar genres. This project helped me understand the basics of recommendation systems and content-based filtering techniques.
Final year undergraduate project
Chefmate is a from-scratch search engine built using Python, NodeJS, and React for Purdue 2020 Senior Capstone
Movies recommendation and rating prediction using collaborative filtering.
A movie recommendation system base on item to item collaborative filtering
A movie recommendation API that uses Collaborative filtering to make recommendations.
Webapp where users can upvote and downvote for their favorite pieces of media. Right now working on reccomendation system using collaborative-filtering
It is a Django/Graphene based movie recommendation engine that compares a person's rating of a movie with that of 40.000 others within a minute and calculates a score based on the comparison.
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