LT-OCF
BSPM
LT-OCF | BSPM | |
---|---|---|
1 | 1 | |
20 | 86 | |
- | - | |
10.0 | 2.8 | |
over 1 year ago | 13 days 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)!
BSPM
What are some alternatives?
Federated-Recommendation-Neural-Collaborative-Filtering - Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
HMLET - Linear, or Non-Linear, That is the Question!, WSDM'22
movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
neural_collaborative_filtering - Neural Collaborative Filtering
matrix-factorization - Library for matrix factorization for recommender systems using collaborative filtering