RecSys Challenge 2016

The RecSys Challenge 2016 is organized by XING, CrowdRec and MTA SZTAKI. XING is a social network for business. People use XING, for example, to find a job and recruiters use XING to find the right candidate for a job. At the moment, XING has more than 15 million users and around 1 million job postings on the platform. Given a user, the goal of the job recommendation system is to predict those job postings that are likely to be relevant to the user. In order to fulfill this task, various data sources can be exploited. Job recommendations are displayed on xing.com as well as in XING’s mobile apps.

In this year’s edition of the RecSys Challenge, the task is: given a XING user, predict those job postings that a user will click on. Submitted solutions will be evaluated offline and online.

A detailed description of the challenge can be found on the website of the RecSys Challenge 2016.
Accepted contributions will be presented during the RecSys Challenge 2016 Workshop.

Organizers

• Fabian Abel, XING AG, Germany
• Daniel Kohlsdorf, XING AG, Germany
• Martha Larson, TU Delft, Netherlands
• Róbert Pálovics, Hungarian Academy of Sciences, Hungary
• András Benczúr, Hungarian Academy of Sciences, Hungary