RecSys challenge 2016: Job recommendations
Abel, F and Benczúr, András and Kohlsdorf, D and Larson, M and Pálovics, Róbert (2016) RecSys challenge 2016: Job recommendations. In: 10th ACM Conference on Recommender Systems, RecSys 2016. RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems . ACM Press, New York, pp. 425-426. ISBN 9781450340359 10.1145/2959100.2959207
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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 sub- mitted together 4,232 solutions yielding in an impressive neck-and-neck race that was decided within the last days of the challenge. © 2016 Copyright held by the owner/author(s).
Item Type: | Book Section |
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Uncontrolled Keywords: | User profile; Participating teams; Large dataset; Job postings; data mining; XING; Recommender systems; Data Mining Challenge |
Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
Divisions: | Informatics Laboratory |
SWORD Depositor: | MTMT Injector |
Depositing User: | MTMT Injector |
Date Deposited: | 16 Dec 2016 17:21 |
Last Modified: | 16 Dec 2016 17:21 |
URI: | https://eprints.sztaki.hu/id/eprint/8867 |
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