RecSys Challenge 2016

Conference paper (2016)

Authors

Fabian Abel XING AG

András Benczúr Hungarian Academy of Sciences

Daniel Kohlsdorf XING AG

M.A. Larson , Radboud Universiteit Nijmegen

Róbert Pálovics Hungarian Academy of Sciences

Recommender Systems XING Data Mining Challenge

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http://resolver.tudelft.nl/uuid:bffb7eb6-e6fa-4f5c-a775-177617ee7392

Published Date

2016

Language

English

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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.