ANONYMOUS PUBLICATION SUBMISSION AND REVIEW PLATFORM USING ML
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Date
2024-05-25
Authors
Aitymbetov, Nurmukhammed
Satkan, Shyngys
Bekmukhanbetov, Dastan
Suiirkhanov, Meiirlan
Journal Title
Journal ISSN
Volume Title
Publisher
Nazarbayev University School of Engineering and Digital Sciences
Abstract
We created an anonymous publication submission and review platform that uses an effective
machine learning model to protect the authors' privacy and the integrity of the review process.
The platform is designed with Django and the Django REST Framework (DRF) for backend
operations, React for the frontend interface, and PyTorch for training machine learning model.
Our technology automates the process of connecting papers with the most appropriate reviewers
based on their expertise, reducing human interference and any bias. Furthermore, it makes it
easier to provide feedback to assigned publications using an intuitive interface. We believe that
our website would significantly contribute to the academic publication review process.
Description
Keywords
Type of access: Embargo
Citation
Aitymbetov, N., Satkan, Sh., Bekmukhanbetov, D., Suiirkhanov, M. (2024). Anonymous Publication Submission and Review Platform Using ML. Nazarbayev University School of Engineering and Digital Sciences