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

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.

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"

Full-stack hybrid book recommendation system combining Collaborative Filtering and Content-Based Filtering with weighted hybrid scoring, modular data pipelines, and model persistence. Deployed via Flask with responsive HTML/CSS UI and integrated CI/CD for production-ready, scalable, and interactive recommendations.

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

A python based hybrid recommendation system built from scratch

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

A small neural net to recommend movies to the user

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

An AI-native database designed for LLM applications, offering lightning-fast hybrid search across dense vectors, sparse vectors, multi-vector tensors, and full-text data.

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.

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

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

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.

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

A system incorporating collaborative, content-based, and hybrid techniques to offer personalised movie recommendations, thereby improving the overall user experience.

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.