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The 6th International Workshop on Talent and Management Computing (TMC 2025)

  • Hengshu Zhu
  • , Yong Ge
  • , Hui Xiong
  • , Ee Peng Lim

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

Abstract

In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with talent and management-related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for leaders to deliver intelligence for effective management for organizations. In the past few years, talent and management computing have increasingly attracted attention from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop, i.e., the 6th International Workshop on Talent and Management Computing (TMC 2025), is to bring together researchers and practitioners to discuss critical problems faced by talent and management-related domains and potential data-driven solutions.

Original languageEnglish (US)
Title of host publicationKDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
PublisherAssociation for Computing Machinery
Pages6316-6317
Number of pages2
ISBN (Electronic)9798400714542
DOIs
StatePublished - Aug 3 2025
Event31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025 - Toronto, Canada
Duration: Aug 3 2025Aug 7 2025

Publication series

NameProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Volume2
ISSN (Print)2154-817X

Conference

Conference31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025
Country/TerritoryCanada
CityToronto
Period8/3/258/7/25

Keywords

  • professional social networks
  • talent behavior modeling

ASJC Scopus subject areas

  • Software
  • Information Systems

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