RecWork: Workshop on Recommender Systems for the Future of Work
Authors: 
Joseph A. Konstan, 
Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi YangAuthors Info & Claims
Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi YangAuthors Info & ClaimsPages 675 - 677
Abstract
As organizations increasingly digitize their business processes, the role of recommender systems in work environments is expanding. The goal of the RecWork workshop is closing the gap in recommender systems research for work environments in areas such as calendaring, productivity, community building, space planning, workforce development, and information routing. RecWork will bring together experts who will collaboratively synthesize a forward-looking research agenda for recommender systems in the workplace. The outcome will be captured through a white paper that will serve as the foundation for future RecWork workshops. These steps will help advance research in workplace recommenders and broaden the reach of the RecSys conference.
References
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Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, and Katrien Verbert. 2021. RecSys in HR: Workshop on recommender systems for human resources. In Fifteenth ACM Conference on Recommender Systems. 799–802.
[2]
David Graus, Toine Bogers, Mesut Kaya, Francisco Gutiérrez, and Katrien Verbert. 2022. Report on the 1st workshop on recommender systems for human resources (RecSys in HR 2021) at RecSys 2021. In ACM SIGIR Forum, Vol. 55. ACM New York, NY, USA, 1–14.
[3]
J Teevan, N Baym, J Butler, B Hecht, S Jaffe, K Nowak, A Sellen, and L Yang. 2022. Microsoft New Future of Work Report 2022. Technical Report. Microsoft Research Tech Report MSR-TR-2022–3.
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Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Bill Buxton, Jenna Butler, Adam Coleman, Mary Czerwinski, 2021. The new future of work: Research from Microsoft into the Pandemic’s Impact on Work Practices. Retrieved March 4(2021), 2022.
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Hui Xiong, Hengshu Zhu, Tong Xu, and Xi Zhang. 2021. TMC 2021: 2021 International Workshop on Talent and Management Computing. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 4169–4170.
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- RecWork: Workshop on Recommender Systems for the Future of Work
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Published In
September 2022
743 pages
ISBN:9781450392785
DOI:10.1145/3523227
Copyright © 2022 Owner/Author.
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.
Sponsors
- SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
- SIGIR: ACM Special Interest Group on Information Retrieval
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 September 2022
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