LT-OCF VS matrix-factorization

Compare LT-OCF vs matrix-factorization and see what are their differences.

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LT-OCF matrix-factorization
1 1
20 19
- -
10.0 2.9
over 1 year ago 7 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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LT-OCF

Posts with mentions or reviews of LT-OCF. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-07.

matrix-factorization

Posts with mentions or reviews of matrix-factorization. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-26.

What are some alternatives?

When comparing LT-OCF and matrix-factorization you can also consider the following projects:

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.

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

BSPM - Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets

movie-recommender - Movie recommender system based on Non-Negative Matrix Factorization and Singular Value Decomposition, with a Flask web interface

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

riscv-newop - A RISC-V new instruction discovery tool [Work in Progress]

HMLET - Linear, or Non-Linear, That is the Question!, WSDM'22

spotlight - Deep recommender models using PyTorch.

neural_collaborative_filtering - Neural Collaborative Filtering