https://github.com/cair/tsetlin-machine-deep-neural-network-recommendation-system-comparison

https://github.com/cair/tsetlin-machine-deep-neural-network-recommendation-system-comparison

Science Score: 26.0%

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    Found 2 DOI reference(s) in README
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    Low similarity (3.4%) to scientific vocabulary
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Repository

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  • Host: GitHub
  • Owner: cair
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.77 MB
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Created over 3 years ago · Last pushed over 3 years ago
Metadata Files
Readme

README.md

A-comparison-between-Tsetlin-machines-and-deep-neural-networks-in-the-context-of-recommendation-syst

Code for the paper: "A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems"

DOI: 10.7557/18.6807 Accepted to NLDL 2023 proceedings

bash @InProceedings{borgersen2022comparison, title="{A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems}", author={Karl Audun {Borgersen} and Morten {Goodwin} and Jivitesh {Sharma}}, booktitle={Northern Lights Deep Learning Conference 2023}, doi={10.7557/18.6807}, year={2023} }

Please contact the corresponding author if anything appears to be missing or non-functional.

The original H&M dataset can be downloaded from https://www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations/data

Owner

  • Name: Centre for Artificial Intelligence Research (CAIR)
  • Login: cair
  • Kind: organization
  • Email: cair-internal@uia.no
  • Location: Grimstad, Norway

CAIR is a centre for research excellence on artificial intelligence at the University of Agder. We attack unsolved problems, seeking superintelligence.

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