BSPM
LT-OCF
| BSPM | LT-OCF | |
|---|---|---|
| 1 | 1 | |
| 86 | 20 | |
| - | - | |
| 2.8 | 10.0 | |
| 12 days ago | over 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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BSPM
LT-OCF
-
[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)!
What are some alternatives?
HMLET - Linear, or Non-Linear, That is the Question!, WSDM'22
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.
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