A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn

This is a Recommend System Project

Model-based recommendation systems involve building a model based on the dataset of ratings. This approach potentially offers the benefits of both speed and scalability. [Source: http://www.cs.carleton.edu/cs_comps/0607/recommend/recommender/modelbased.html]

A package for classic deep learning recommending algorithms implemented with TF2.6. Currently a personal project for learning purposes.

Full stack machine learning music recommendation app using ALS collaborative filtering, built using Flask and PySpark

2021년 경상북도 데이터 경진대회 | 추천 알고리즘을 이용한 맞춤형 식품 추천 서비스

This project is an web-based smart education system that uses one of three recommendation algorithms to suggest educational content to users. It's built for the Department of Computer Science, University of Benin, Nigeria.

simple recommender system using collaborative filter for movie data

Modélisation d'un base de données Cinenet , sur le modele de TMBD

深度学习推荐算法，输入原始特征，模型内部进行特征预处理

Unlock the secrets of recommendation algorithms from KNN to deep learning with The Ultimate Recommendation Systems. Packed with practical insights and playful tips, this project helps you build top-tier recommendation engines and level up your data science skills. Dive in and start your recommender journey today!

The project of Cogito with Infor

The future of technology implemented today. Various implementations of multi-context, context-aware system of recommendation optimized using particle swarm and enhanced by ensemble of deep learning techniques.

ETH Zurich Fall 2017

Movie Recommendation System - Getting top 5 movies recommended

A collection of documents and programs to learn about recommendation system

종목 데이터 처리, 주가 데이터 처리, 포트폴리오 api

All about Data intelligence

DeepLearning For Recsys

Projects for Social Gaming course in Technical University of Munich