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.
Microsoft Engage program 2022
Rating System supported by Solidity smart contracts
Introduction to Recommender Systems: Non-Personalized and Content-Based University of Minnesota
This repository covers approaches of recommendation systems
BloomSage ML Component
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.
For Study, For Experiments
CSE 593
Combination of the sentiment analysis and the recommendation system
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.
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.
A developing review-awared recommender system with pytorch
The detialed codes written in Matlab R2015b version in paper "RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems "
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