hybrid-recommender-system
There are 76 repositories under hybrid-recommender-system topic.
Brice-Vergnou/movie_recommendation
Create a hybrid recommendation system to suggest the most relevant movies for a user
Hasibul-Islam/Hybrid-Recommendation-System
This is an ecommerce recommendation system that is measured with weighted user rating and content cosine similarity.
schatzederwelt/library-recommendation-system
Проект создания рекомендательной системы для библиотеки
danielchristopher513/Hybrid_Movie_Recommendation
The Hybrid Movie Recommender is a system that recommends movies using a combination of collaborative and content-based filtering techniques. The system is designed to address the cold start problem(new users) by using a popularity based approach. The dataset used for the system is obtained from Kaggle.
irina911/Hybrid-Recommendation-System-for-a-Music-Platform
EDA, Pre-processing, 6 Recommendation Systems Techniques: * Popularity-Based, * Cosine Similarity Collaborative Filtering, * Matrix Factorization Collaborative Filtering, * Clustering, * Content-Based Filtering, * Hybrid Recommendation System.
jnopareboateng/Lhydra_rs
Journey detailing Lhydra Hybrid Music Recommender System
materight/therapy-recommender-system
An hybrid recommender systems for suggesting medical therapies, based on matrix factorization and collaborative filtering.
mutayyab01/movie-recommendation-system
This is an app for collaborative and hybrid filtering using multiple csv data a model is trained and a flask is used for the web representation of model
pasqualedem/Deep_CBRS_Amar_Renaissance
Amar deep architectures for hybrid recommenders with GNNs
Praveen76/Recommendation-System-Interview-Prep-Guide
Explore the Recommendation System Interview Prep Guide! This GitHub repository provides curated interview questions and answers for Data Scientists. Elevate your knowledge of recommendation systems, navigate technical interviews with confidence, and succeed in the dynamic field of data science focused on recommendation system applications.
REAtes/Hybrid-Recommender
The goal of this project is to implement a Hybrid Recommender System that combines item-based and user-based recommendation methods to provide movie recommendations for a specific user. The system aims to offer a total of 10 movie recommendations by using both methods.
SageRalph/TSR-Public
Public repository for the Isle of Wight Supply Chain (IWSC) dataset and the Transitive Semantic Relationships (TSR) inference algorithm for cold-start recommendations.
threnjen/boardgamegeek
BoardGameGeek Recommender System is a start-to-finish project, from sourcing the data to a hybrid recommender system utilizing both content-based and collaborative filtering.
ZeusCoderBE/Recommender-System
Content-based Filtering, Neighborhood-based Collaborative Filtering
ajithvernekar/recommender-system-e-commerce
This repository contains a recommendation model for content-based, collaborative filtering and hybrid model approaches. It also exhibits popularity model for new-users to address cold-start problem. It evaluates the model using metrics like coverage, diversity and novelty
arigalzi/RecommenderSystems-Challenge
Recommender system challenge @ Polimi
evylegzhanin/Recommender_system_VK_CoreML
Comparison of two approaches for building a recommender system presented. The first one is a collaborative filtering. The second one is hybrid recommender system. This project is the second stage of a contest for an internship in VK.
Gopalkholade/Music-Recommender-System
The "Music Recommender System using Spotify API" project aims to create a personalized music recommendation system for users based on their listening preferences and behavior. By leveraging the Spotify API, we can access a vast collection of music data, including tracks, artists, genres, and user playlists.
GurpreetKukkar/Book-Recommendation-System-Using-collaborative-Filtering
This repository houses the codebase for a Book Recommendation System, crafted using collaborative filtering, Flask, and cosine similarity. The system employs advanced machine learning techniques to generate personalized book recommendations based on user preferences.
Manisha-Karim/Movie-Recommendation-System
Content, Collaborative, and Hybrid Movie recommendation system
ohara-bookshelf/hybrid-recommendation-models
This repository contains the machine learning part of the project especially the used algorithms for the recommendation system
tessaroes/SpotifyRecommenderSystem
Code for Master's Thesis Data Science & Society
Aaryan015/AI-book-recommender-system
Hybrid recommender system - Collaborative filtering + Content based filtering (same as used by Netflix).
imnikhilanand/Recommendation-System-Suggesting-Streamers-on-Twitch
The project is based on a Hybrid recommendation engine that uses both Collaborative as well as Content based filtering methods to suggest streamers to the online users based on the type content they consume.
jayjinnie/Food-Recommendation-System
2021년 경상북도 데이터 경진대회 | 추천 알고리즘을 이용한 맞춤형 식품 추천 서비스
jhaayush2004/Literary-Alchemy
A Hybrid book recommender model
michael-halim/testing-hosting-skripsi
🎓 Final Project for Completing Bachelor Degree in Petra Christian University. Create Hybrid Recommender System for Interior Products and its Services using Data Implicit Feedback
Praveen76/Hybrid-Recommender-System-on-E-commerce-Data
Explore the Hybrid Recommender System on E-commerce Data repository! This GitHub project showcases a solution for building a hybrid recommender system. Dive into the code, discover innovative approaches, and enhance your understanding of creating effective recommendation systems tailored for E-commerce Data.
Sarvesh1814/Recommendation_System
Recommendation Systems with mathematical modelling
Sharvari289/Yelp-Restaurants-Recommendation-System-using-Apache-Spark
A PySpark Recommendation System for predicting Yelp ratings for 1.5M+ users and 200k+ businesses.
smsraj2001/RECOMMENDER-SYSTEM
Implementation of a Recommender system by using Steam Dataset corpus.
spoortimorabad/Ecommerce_Product_Recommendation_System
Product recommendation system is a Machine learning based project which can be used to proivde personalized recommendations.
thimyxuan/movie-recommender-app
A movie recommender application