PAPIs Latam 2019

Industry still struggles to design recommenders able to provide useful recommendations for users who have not interacted with any item (User Cold Start scenario). In this talk, we will show how to connect new candidates to their desired jobs in one of the main online employment marketplaces in Latin America. The solution involves, first, modeling user and item profiles based on content features and then using Machine Learning to predict interactions between them. A / B testing evidenced the proposed solution is able to enhance user engagement.