Basic Movie Recommendation Web Application using user-item collaborative filtering.
-
Updated
Jul 18, 2022 - HTML
Basic Movie Recommendation Web Application using user-item collaborative filtering.
An introduction to recommendation systems in Python
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
Building a Movie Recommendation System web application using Django framework and Collaborative Filtering technique
It was built a web application as a step forward in building a 3D recommendation system.
Repository for the Honor Track of Recommender Systems Specialization from University of Minnesota on Coursera
Newsfeeds website using nodejs as server and mongo as storage backends, including a simple recommendation system. 基于Node.js的新闻聚合网站, 支持基于用户行为推荐新闻.
a data science blog
An end-to-end restaurant recommendation system built with Flask and Python. This project showcases a fully functional web application, hosted on Heroku, that helps users discover the best dining options based on their preferences.
A Java web service by Apache Tomcat for personalized restaurants recommendation
A recommender engine based on Collaborative Filtering of the games available on the Steam Game Store
An application to recommend recipes according to user preference.
Recommendation system for inter-related content. Uses natural language processing and collaborative filtering. Provides recommendations for books, movies, tvshows
Book Recommendation System- A Web app made using flask framework to recommend your favorite book using content based filtering and cosine similarity metrices.
College Recommendation System for Engineering Admission
Music recommender using Flask, PostgreSQL and the Spotify API
A simple job recommendation system project (using Python) for my final year!
Projects which were completed as part of assignments of Great Learning's PGP in Artificial Intelligence and Machine Learning
This project is a part of the Data Scientist Nanodegree by Udacity. It features an important collaboration with IBM, the provider of the dataset. The aim is to develop a recommendation engine and suggest new articles to the IBM Watson Community users.
Hello Guys. This is my quarantine project. It is item based collaborative recommendation system.
Add a description, image, and links to the recommendation-system topic page so that developers can more easily learn about it.
To associate your repository with the recommendation-system topic, visit your repo's landing page and select "manage topics."