RecSys Challenge 2016

• DOI: 10.1145/2959100.2959207
• Publication Date: 2016-09-01T18:25:14Z
• Authors: Fabian Abel; András Benczúr; Daniel Kohlsdorf; Martha Larson; Róbert Pálovics
• Keywords: Data Science; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

The 2016 ACM Recommender Systems Challenge focused on the problem of job recommendations. Given a large dataset from XING that consisted of anonymized user profiles, job postings, and interactions between them, the participating teams had to predict postings that a user will interact with. The challenge ran for four months with 366 registered teams. 119 of those teams actively participated and submitted together 4,232 solutions yielding in an impressive neck-and-neck race that was decided within the last days of the challenge.