Neural Graph Collaborative Filtering, SIGIR2019
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Updated
May 7, 2020 - Python
Neural Graph Collaborative Filtering, SIGIR2019
👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.
Disentagnled Graph Collaborative Filtering, SIGIR2020
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
Code and dataset for CVPR 2019 paper "Learning Binary Code for Personalized Fashion Recommendation"
Developed a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering)
Unleash the Power of Music with Personalized Concert Recommendations.
A book search engine with support for title search, author search, and multilingual query and result; results tailored to each user given one's past book ratings and to-read list.
This repo presents codes that helps patients to get informed about diverticulitis from food meal image with help of Ollama and MedGemma with VLM in local setup
personalized recommendation
Personalized Visual Art Recommendation by Learning Latent Semantic Representations
Use the Scikit-Network for PageRank algorithms including Topic-specific PR and improve the performance of various recommendation-systems using Surprise library
Movie Recommendation Anytime Anywhere
Priveedly: A django-based content reader and recommender for personal and private use
A demo app to show how the implementation results look like when AWS Personalize is trained with movie lens dataset.
TrialMatchAI aims to seamlessly match cancer patients to clinical trials based on their unique genomic and clinical profiles using AI
This system helps users discover personalized audiobook recommendations based on their preferred genre, author, or book title, backed by data-driven insights and visualizations.
GatorSched harnesses GPT-2 to intelligently parse and respond to queries from lifelog data, providing tailored recommendations and insights for effective scheduling
GeoJobSearch is a web app that aggregates job listings, visualizes them on a map, and provides location-based insights. Built with React, Spring Boot, and Docker, it features filters, alerts, and mobile access for an optimized job search experience.
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