Crowdhelix has developed new AI technology to enhance its recommender engine by 50%, making it easier for users to collaborate with experts across research, innovation and business.
This massive enhancement is the result of a nine-month project led by Crowdhelix’s Machine Learning Engineer, Alex Lilburn.
The pioneering system employs trailblazing transformer models, similar to those used in ChatGPT, to help users identify and collaborate with Crowdhelix’s network of nearly 11,000 expert innovators spread across 57 different countries.
How does the New Recommender Engine Work?
The transformer models employed by Crowdhelix act as a neural network that understands the context in which platform users leverage keywords to search for collaborators.
As a result, as Alex explains, the enhanced recommender engine is able to detect the most subtle connections between individual words and sentences, and the ways in which they interact with each other.
What Does This Mean for Crowdhelix users?
Platform users will continue to use the Crowdhelix platform as they did before.
The new Recommender System will simply make it quicker and easier for users of the Crowdhelix platform to connect and collaborate with like-minded experts from across our global network.
As Alex explains, once potential matches have been identified, Crowdhelix’s Network Development team will deliver a list of potential collaborators that are most relevant to your needs.