Jobandtalent at RecSys Challenge 2016
Jose Ignacio Honrado, Oscar Huarte, Cesar Jimenez, Sebastian Ortega, José R. Pérez-Agüera, Joaquín Pérez-Iglesias, Alvaro Polo, Gabriel Rodriguez · 2016
In this paper we describe the system built by the Jobandtalent Recommendation Team to compete in the RecSys Challenge 2016. The task consisted in predicting future interactions between Users and Items within the XING platform. The data provided by XING consists of users, items, plus interactions, and impressions of items showed to those users. We decided to apply a Learning to Rank approach to find the best combination of relevance features. We finally achieved the 11th position.