npxiaoying/Social-Recommendation
Summary of social recommendation papers and codes
This project helps researchers and developers explore and compare different 'social recommendation' algorithms. It provides a curated list of academic papers and links to their corresponding open-source code implementations. The user can easily access various approaches to building recommendation systems that leverage social network data, along with common datasets and performance metrics used to evaluate them.
217 stars. No commits in the last 6 months.
Use this if you are a researcher or developer looking for a comprehensive overview of existing social recommendation techniques, their papers, and code implementations.
Not ideal if you are an end-user seeking a ready-to-use recommendation system without any development or research interest.
Stars
217
Forks
32
Language
—
License
—
Category
Last pushed
May 07, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/npxiaoying/Social-Recommendation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
meta-pytorch/torchrec
Pytorch domain library for recommendation systems
recommenders-team/recommenders
Best Practices on Recommendation Systems
hongleizhang/RSPapers
RSTutorials: A Curated List of Must-read Papers on Recommender System.
kakao/buffalo
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
google-research/recsim
A Configurable Recommender Systems Simulation Platform