Neural Graph Collaborative Filtering, SIGIR2019
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Updated
May 7, 2020 - Python
Neural Graph Collaborative Filtering, SIGIR2019
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"
Priveedly: A django-based content reader and recommender for personal and private use
TrialMatchAI aims to seamlessly match cancer patients to clinical trials based on their unique genomic and clinical profiles using AI
personalized recommendation
It describes the features of AWS personalize.
A collaborative platform for creating and curating personalized tech learning paths. Powered by Django, it tailors content based on users' skills and preferences, integrating external educational resources. http://34.72.154.173/
An intuitive movie recommendation system leveraging genre similarity with TF-IDF and cosine similarity for a personalized film discovery experience.
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
Unleash the Power of Music with Personalized Concert Recommendations.
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