Proceedings of the Recommender Systems Challenge

The authors of these papers participated in the RecSys Challenge 2016 by designing and implementing recommender system algorithms for job recommendations. The challenge dataset was provided by XING, a business-oriented social network with approximately 18 Million users worldwide, more than half in German-speaking countries. The challenge had the following formulation: given a XING user, the recommender algorithms had to predict those job postings with which that user will interact (e.g., click or bookmark).