Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022)

Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Sepideh Mesbah, Chris Johnson

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
98 Downloads (Pure)
Original languageEnglish
Title of host publicationRecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
Number of pages4
PublisherAssociation for Computing Machinery
Publication date12 Sept 2022
Pages671-674
ISBN (Electronic)9781450392785
DOIs
Publication statusPublished - 12 Sept 2022
Event16th ACM Conference on Recommender Systems, RecSys 2022 - Seattle, United States
Duration: 18 Sept 202223 Sept 2022

Conference

Conference16th ACM Conference on Recommender Systems, RecSys 2022
Country/TerritoryUnited States
CitySeattle
Period18/09/202223/09/2022
SponsorACM Special Interest Group on Artificial Intelligence (SIGAI), ACM Special Interest Group on Computer-Human Interaction (SIGCHI), ACM Special Interest Group on Hypertext, Hypermedia, and Web (SIGWEB), Special Interest Group on Information Retrieval (ACM SIGIR), ACM Special Interest Group on Knowledge Discovery in Data (SIGKDD)
SeriesRecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems

Bibliographical note

Permission to make digital or hard copies of part or all of this work for personal or
classroom use is granted without fee provided that copies are not made or distributed
for profit or commercial advantage and that copies bear this notice and the full citation
on the first page. Copyrights for third-party components of this work must be honored.
For all other uses, contact the owner/author(s).
RecSys ’22, September 18–23, 2022, Seattle, WA, USA
© 2022 Copyright held by the owner/author(s).
ACM ISBN 978-1-4503-9278-5/22/09.
https://doi.org/10.1145/3523227.3547414

Keywords

  • hiring
  • human resources
  • Recommender systems
  • recruitment

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