Team:NTNU Trondheim/Software/iGEM Matchmaker
We have released a new version of the iGEM Matchmaker. New features include automatic matchmaking of iGEM teams using machine learning and keyword extraction. The website has been upgraded to use Bootstrap 3.0.
The code is available on GitHub.
Keywords are extracted from the project abstract and description pages using keyword extraction algorithms. Based on training data from the food and drug administration, MAUI uses machine learning to extract the most relevant keywords for the teams and measures the weight of the keyword.
The principle of matchmaking is as follows:
- A team will be helped on a topic by a team for which this topic is more relevant.
- A team will be better at the main topics of their project, and will need help for the least important topics.