Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

8-2025

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.

Keywords

Talent behavior modeling, Professional social networks

Discipline

Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, Toronto, Canada, August 3-7

First Page

6316

Last Page

6317

Identifier

10.1145/3711896.3737851

Publisher

ACM

City or Country

New York

Additional URL

https://doi.org/10.1145/3711896.373785

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