recommender-system

This project implements the basic probabilistic matrix factorization algorithm.

A basic recommender system created using Python for my first machine learning project.

Music ratings prediction and music recommendation implemented in Python

Backend for the Reactive Jukebox managing users, playlists, songs, recommendations and more

IMDB movies recommender system

A Python-based movie recommender system.

A recommendation algorithm using the MovieLens dataset.

Multidimensional Association Recommender based on association analysis and graph database

Similarity measure based on WordNet and Rapid Automatic Keyword Extraction (RAKE)

web log analytics, recommender systems, Graph analysis, content-based/collaborative filtering

SoulSeek client with web interface and recommender system

Movie Recommendation Engine using Collaborative Filtering

AKA Friendshipify. This is the repository for my multi-user music recommender that analyzes the music taste of two people, finds the similarities between their taste, and generates a playlist of songs based on that similarity.

AI-powered Business Intelligence & Decision Support Platform built with React, FastAPI, MongoDB, and Machine Learning for inventory, sales, forecasting, analytics, and business recommendations.

CS Course Recommendation Engine (Python Flask)

Factorization machine implemented in TensorFlow 2

AI knowledge System（人工智能知识体系）.

Movie Recommendations code using R/Knit. Made use of RecommenderLab package.