LT-OCF
Federated-Recommendation-Neural-Collaborative-Filtering
LT-OCF | Federated-Recommendation-Neural-Collaborative-Filtering | |
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1 | 2 | |
20 | 25 | |
- | - | |
10.0 | 3.9 | |
over 1 year ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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LT-OCF
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[R] Blurring-Sharpening Process Models for Collaborative Filtering (TLDR: graph filtering-based methods + inspired by SGMs = SOTA models for recommender systems)
We have more exciting works on recommender systems; please check our LT-OCF (code) and HMLET (code)!
Federated-Recommendation-Neural-Collaborative-Filtering
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Federated-Recommendation-Neural-Collaborative-Filtering
AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering (github.com)
- Made a Federated Learning (Distributed) Setting for Recommendation Systems
What are some alternatives?
BSPM - Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23
torchrec - Pytorch domain library for recommendation systems
movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface
federeco - implementation of federated neural collaborative filtering algorithm
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
disco - Recommendations for Ruby and Rails using collaborative filtering
HMLET - Linear, or Non-Linear, That is the Question!, WSDM'22
recommenders - Best Practices on Recommendation Systems
neural_collaborative_filtering - Neural Collaborative Filtering
TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques
matrix-factorization - Library for matrix factorization for recommender systems using collaborative filtering
LargeBatchCTR - Large batch training of CTR models based on DeepCTR with CowClip.