RecSys Challenge 2016
Fabian Abel (XING AG)
András Benczúr (Hungarian Academy of Sciences)
Daniel Kohlsdorf (XING AG)
M. Larson (TU Delft - Multimedia Computing, Radboud Universiteit Nijmegen)
Róbert Pálovics (Hungarian Academy of Sciences)
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Abstract
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.
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