RecSys Challenge 2016

Fabian Abel, András Benczúr, Daniel Kohlsdorf, Martha Larson, Róbert Pálovics

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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.
Original languageEnglish
Title of host publicationRecSys'16 Proceedings of the 10th ACM Conference on Recommender Systems
EditorsS. Sen, W. Geyer
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages425-426
Number of pages2
ISBN (Electronic)978-1-4503-4035-9
DOIs
Publication statusPublished - 2016
Event10th ACM Conference on Recommender Systems, RecSys 2016 - MIT, Boston, MA, United States
Duration: 15 Sep 201619 Sep 2016
https://recsys.acm.org/recsys16/

Conference

Conference10th ACM Conference on Recommender Systems, RecSys 2016
CountryUnited States
CityBoston, MA
Period15/09/1619/09/16
Internet address

Keywords

  • Recommender Systems
  • Data Mining Challenge
  • XING

Fingerprint

Dive into the research topics of 'RecSys Challenge 2016'. Together they form a unique fingerprint.

Cite this