RecWork: Workshop on Recommender Systems for the Future of Work

Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationRecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery, Inc
Pages675-677
Number of pages3
ISBN (Electronic)9781450392785
DOIs
StatePublished - Sep 12 2022
Event16th ACM Conference on Recommender Systems, RecSys 2022 - Seattle, United States
Duration: Sep 18 2022Sep 23 2022

Publication series

NameRecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems

Conference

Conference16th ACM Conference on Recommender Systems, RecSys 2022
Country/TerritoryUnited States
CitySeattle
Period9/18/229/23/22

Bibliographical note

Publisher Copyright:
© 2022 Owner/Author.

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