This repository hosts the code and the settings for the paper "Modular Debiasing of Latent User Representations in Prototype-based Recommender Systems" by Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, and Markus Schedl at ECML-PKDD'24.

This repository is about my semester project related to the course Big Data Analytics. I developed a recommendation system engine based on Hotel Reviews Dataset. Read more about the implementation in markdown file.

Introduction to Recommender Systems: Non-Personalized and Content-Based University of Minnesota

Fashion-Recommendation-System-using-Image-Features is a Streamlit-Python app leveraging Deep Learning and Machine Learning to provide personalized fashion recommendations through image analysis.

BloomSage ML Component

Combination of the sentiment analysis and the recommendation system

Microsoft Engage program 2022

A developing review-awared recommender system with pytorch

Machine Learning - Standford University (Coursera)

In this Repository, A simple content-based book recommendation system is implemented. A representation vector is built with a TF-IDF vector of the Authors name concatenated with the title of the book.

The detialed codes written in Matlab R2015b version in paper "RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems "

CSE 593

For Study, For Experiments

This repository covers approaches of recommendation systems

Rating System supported by Solidity smart contracts