hybrid-recommendation

There are 19 repositories under hybrid-recommendation topic.

  • robi56/Deep-Learning-for-Recommendation-Systems

    This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

    2.8k2031703

  • Jennytang1224/Need_a_Date

    A recommender engine built for a Bay Area online dating website to maximize the successful matches by introducing hybrid recommender system and reverse match technique.

    Language:Python312210

  • MaurizioFD/CFeCBF

    This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"

    Language:Python12216

  • jsaikrishna/Hybrid-Hotel-Recommendation-System-for-Yelp

    Hotel Recommendation system based on Content, Collaborative, Social Network Based Systems

    Language:Java7202

  • amitab/Recommendare

    A python based hybrid recommendation system built from scratch

    Language:Python4201

  • michaelbzms/DeepRecommendation

    This is the source code for my MSc thesis on Hybrid Recommendation Systems using Neural Networks.

    Language:Jupyter Notebook4401

  • danitico/recsys-spark

    A implementation in Scala of CF, Content Based, Sequential and hybrid recommender systems for Spark

    Language:Scala1100

  • 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.

    Language:Python1100

  • SPauly/Movie-Recommendation

    A small neural net to recommend movies to the user

    Language:Python1120

  • vicentinileonardo/query-recommendation-system

    Repository related to the project of the Data Mining graduate course of University of Trento, academic year 2022/2023.

    Language:Python1301

  • dembasowfr/ohara-bookshelf

    Ohara bookshelf is a smart books recommendation platform using machine learning algorithms and neural network.

    0100

  • Heisenberghj7/Cars-Recommendation

    đźš—This GitHub repository hosts a project focused on car recommendations using content-based and collaborative filtering algorithms.

    Language:Python0101

  • herikLorencao/srh-backend

    Sistema de Recomendação Híbrido desenvolvido no formato de WebService RESTful utilizando Spring Boot

    Language:Java0001

  • laidasani/Recommendation-System

    Implemented all the 3 major types of Recommendation Systems, namely, Item Based CF Recommendation System, Model-Based Recommendation System and Hybrid Recommendation System.

    Language:Python0200

  • leiyunin/Hybrid-Recommendation-System

    This project developed and optimized a hybrid recommendation system that processes over 450,000 training data points and 142,000 validation data points. The system combines user ratings, merchant details, and user reviews to predict users' ratings for restaurants they have not visited.

    Language:Python0100

  • leiyunin/Locality-Sensitive-Hashing-and-Collaborative-Filtering-on-Yelp-Data

    The assignment comprises two main tasks: implementing LSH to identify similar businesses based on user ratings and developing various collaborative filtering recommendation systems to predict user ratings for businesses.

    Language:Python0100

  • Nathius262/trend-fitness-recommendation-technique

    Trend Fitness is a web application dedicated to providing professional fitness advice which will include a range from fitness plans to diet plans catered to every individual needs. I believe that my web application will embark on a transformative journey towards a healthier lifestyle.

    Language:Jupyter Notebook0101

  • nes-prog/Recommendation-Bot

    Recommendation bot

    Language:Jupyter Notebook0100

  • oguzerdo/recommender-systems

    Language:Jupyter Notebook10