🍃 Recommender System in JavaScript for the MovieLens Database
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Updated
May 12, 2021 - JavaScript
🍃 Recommender System in JavaScript for the MovieLens Database
A github repository suggestion system
Movies Reviewed by people, for people
Chrome extension for creating custom Smart Replies in Gmail
Yum-me is a nutrient based food recommendation system
基于深度学习的商品推荐系统,高性能,可承受高并发,可跨平台
The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.
The main aim of the project is to develop a web-based application that is going to make it possible for the customer to place an order of food by using this app . In this we are also creating food recommendation app and that will substitute the manual system of the placing an order with an automated one.
Local recommendation system
This is a book recommendation app created with React 18.2 and MUI for coders/programmers looking for reccomendations to books on programming/coding to read
The Internet plays an increasingly important part in our daily lives as a source of written content for news and leisure. Yet it is tedious and difficult to sort through this staggering flow of information and stay updated with changes in our world, even using automated tools. Reading magazines and newspapers is too time-consuming, and there is …
Keep-Watching is a movie recommendation and review app build using React for the front-end, express for the back-end, flask for handling the recommendations and similar movies section, mongoDB for the database, passport.js for handling social media logins
Recommender system engine on NodeJS
🌠 Recognition platform built for developer endorsements
Flask based Movie Recommendation System
Recommends Subreddits on Rails
A fully functional Spotify clone! 🎧
Legal Up recommends suitable lawyers⚖️ to clients based on concise case descriptions🔍 using advanced algorithms, ensuring clients find the right legal expertise. 💼
Content based recommendation using elasticsearch
My Graduation Project - Developing project backend with Nodejs using Mongodb database connection and using AWS Personalize and S3 Services
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