A journal recommender tool built on the Directory of Open Access Journals

« This application suggests open access journals based on their similarity to a draft abstract submitted by the user. It is meant for authors who are trying to discover suitable target journals for their work. The results are meant to be serendipitous; the goal is to uncover unexpected but relevant journals
The application is built with Flask, combined with « serverless » infrastructure for data analysis. The Flask application calls a Google Cloud Function asynchronously. Most of the computationally intensive work is done by the Cloud Function. (…) »

source > github.com/MarkEEaton, 2020