Multi-stack ensemble for job recommendation

Abstract

This paper describes the approach that team PumpkinPie adopted in the 2016 Recsys Challenge. The task of the competition organized by XING is to predict which job postings the user has interacted with. The team's approach mainly consists in generating a set of models using different techniques, and then combining them in a multi-stack ensemble. This strategy granted the fourth position in the final leader-board to the team, with an overall score of 1.86M.