VinciZhu/GiffCF
Official implementation of "Graph Signal Diffusion Model for Collaborative Filtering" (SIGIR 2024)
This project helps e-commerce managers and content curators improve their recommendation systems. It takes in historical user interactions with items (like purchases or clicks) and generates more accurate recommendations for what a user might like next. The goal is to provide better, more relevant suggestions to users, leading to improved engagement and satisfaction.
No commits in the last 6 months.
Use this if you manage a platform with many users and items, and you want to generate highly accurate, personalized recommendations based on implicit user feedback.
Not ideal if your recommendation system relies heavily on explicit user ratings (like star reviews) rather than just implicit interactions.
Stars
17
Forks
2
Language
Python
License
—
Category
Last pushed
May 31, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/VinciZhu/GiffCF"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sophiaas/gtc-invariance
Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant...
SherylHYX/DIGRAC_Directed_Clustering
Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on Flow Imbalance.
pierrehouedry/DifferentiableHyperbolicity
Official implementation of the paper “Bridging Arbitrary and Tree Metrics via Differentiable...
gravins/Anti-SymmetricDGN
Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep...