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
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: http://eprints.sztaki.hu/id/eprint/8867

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