Microsoft Corporation
Interaction-based predictions and recommendations for applicants

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system determines features related to an application for an opportunity by a member of an online network, wherein the features include a historical response rate for a poster of the opportunity and a submission number of the application for the opportunity. Next, the system applies a machine learning model to the features to produce a score representing a likelihood of the member receiving a response to the application from the poster. The system then compares the score to a threshold to determine a recommendation related to applying to the opportunity by the member. Finally, the system outputs the recommendation to improve an experience of applying to the opportunity.