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.

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.

Projects which were completed as part of assignments of Great Learning's PGP in Artificial Intelligence and Machine Learning

a data science blog

A simple job recommendation system project (using Python) for my final year!

College Recommendation System for Engineering Admission

Book Recommendation System- A Web app made using flask framework to recommend your favorite book using content based filtering and cosine similarity metrices.

A recommender engine based on Collaborative Filtering of the games available on the Steam Game Store

A Java web service by Apache Tomcat for personalized restaurants recommendation

An application to recommend recipes according to user preference.

My own real time Music and Podcast Streaming web application built with Django , Tailwind CSS and Spacy NLP , Web Speech API , Scikit-learn , Pandas , Redis , WebSockets, Three.js , A-Frame , WebXR

Recommendation system for inter-related content. Uses natural language processing and collaborative filtering. Provides recommendations for books, movies, tvshows

Music recommender using Flask, PostgreSQL and the Spotify API

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.