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

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

doi:10.1145/3523227.3547414

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 proceeding › Article in proceeding › Research › peer-review

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Original language	English
Title of host publication	RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
Number of pages	4
Publisher	Association for Computing Machinery
Publication date	12 Sep 2022
Pages	671-674
ISBN (Electronic)	9781450392785
DOIs	https://doi.org/10.1145/3523227.3547414
Publication status	Published - 12 Sep 2022
Event	16th ACM Conference on Recommender Systems, RecSys 2022 - Seattle, United States Duration: 18 Sep 2022 → 23 Sep 2022

Conference

Conference	16th ACM Conference on Recommender Systems, RecSys 2022
Country/Territory	United States
City	Seattle
Period	18/09/2022 → 23/09/2022
Sponsor	ACM 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)

Series	RecSys 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

Access to Document

10.1145/3523227.3547414Licence: CC BY-NC 4.0

Open Access ArticleFinal published version, 425 KBLicence: CC BY-NC 4.0

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Bogers, T., Graus, D., Kaya, M., Gutiérrez, F., Mesbah, S., & Johnson, C. (2022). Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022). In RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems (pp. 671-674). Association for Computing Machinery. RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems https://doi.org/10.1145/3523227.3547414

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language = "English",

series = "RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems",

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Bogers, T, Graus, D, Kaya, M, Gutiérrez, F, Mesbah, S & Johnson, C 2022, Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022). in RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems, pp. 671-674, 16th ACM Conference on Recommender Systems, RecSys 2022, Seattle, United States, 18/09/2022. https://doi.org/10.1145/3523227.3547414

Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022). / Bogers, Toine; Graus, David; Kaya, Mesut et al.

RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, 2022. p. 671-674 (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Gutiérrez, Francisco

AU - Mesbah, Sepideh

AU - Johnson, Chris

N1 - 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

PY - 2022/9/12

Y1 - 2022/9/12

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Bogers T, Graus D, Kaya M, Gutiérrez F, Mesbah S, Johnson C. Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022). In RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery. 2022. p. 671-674. (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems). doi: 10.1145/3523227.3547414

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

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Bibliographical note

Keywords

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