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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Updated
Nov 26, 2020 - MATLAB
The detialed codes written in Matlab R2015b version in paper "RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems "
A developing review-awared recommender system with pytorch
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.
End-to-end course recommender system project.
Python and SQL projects all the way from simple classification, to deep learning
Rating System supported by Solidity smart contracts
Machine Learning - Standford University (Coursera)
[BIBM 2025] Source code for "CafeMed: Causal Attention Fusion Enhanced Medication Recommendation".
CSE 593
Trang Doan Portfolio
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.
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.
Introduction to Recommender Systems: Non-Personalized and Content-Based University of Minnesota
Recipe Assistant is a command-line application that helps users generate or search for recipes using simple ingredient keywords. It supports local recipe generation via Ollama and real recipe search using Google Custom Search, with smart keyword preprocessing, taste preference detection, and secure API key management.
For Study, For Experiments
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.
This repository covers approaches of recommendation systems
A book recommendation system using popularity and collaborative filtering with a Flask web app.
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