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KDD 2024Workshop Summaries

The 5th International Workshop on Talent and Management Computing (TMC'2024)

Hengshu Zhu, Yong Ge 0001, Hui Xiong 0001, Ee-Peng Lim

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3637528.3671479 ↗

摘要

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 business leaders to understand the rules of talent and management, which in turn deliver intelligence for effective decision-making and management for their 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 5th International Workshop on Talent and Management Computing (TMC'2024), is to bring together researchers and practitioners to discuss both the critical problems faced by talent and management-related domains and potential data-driven solutions by leveraging state-of-the-art data mining technologies.