Basic Movie Recommendation Web Application using user-item collaborative filtering.

图像识别与推荐系统两类

📖Notes and remarks on Machine Learning related papers

Fashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System

Repository for the Honor Track of Recommender Systems Specialization from University of Minnesota on Coursera

resources of FAST-NUCES 2020-2024

DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

FeedCrunch.IO - Take RSS Feeds to the next level with personnalized recommendations

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.

This repo contains of various components of the Interactive web app : Edu Squad , designed on the theme of Adaptive Learning. Features are implemented, so as to help make the virtual Learning fun & efficient

SQL-based Recommendation System for multi-topic recommendations

Recommend League of Legends teams using a neighborhood based recommender system written in Golang

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

Project with examples of different recommender systems created with the Surprise framework. Different algorithms (with a collaborative filtering approach) are explored, such as KNN or SVD.

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

A machine learning algorithm for recommending the top N results for a multi-class target.

This is a web application for movie recommendation based on Flask, HTML and Python

Movie Recommendation Engine using PySpark