In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

Recent advances in Large Language Models (LLMs) have been changing the paradigm of
Recommender Systems (RS). However, when items in the recommendation scenarios …

Career planning consists of a series of decisions that will significantly impact one's life.
However, current recommendation systems have serious limitations, including the lack of …

The recent development of recommender systems has a focus on collaborative ranking,
which provides users with a sorted list rather than rating prediction. The sorted item lists can …

Collaborative filtering is a critical technique in recommender systems. It has been
increasingly viewed as a conditional generative task for user feedback data, where newly …

Digitalization, automation, robotization and green transition are key current drivers changing
the labour markets and the structure of skills needed to perform tasks within jobs. Mitigating …

Sequential recommendation is a crucial task in understanding users' evolving interests and
predicting their future behaviors. While existing approaches on sequence or graph modeling …

Career mobility analysis aims at discovering the movement patterns of employees across
different job positions or grades, which can benefit various human resource-related …

Previous work has measured employer attractiveness via proxies, such as the number of
new hires or employee sentiment mined from surveys and reviews. The first drawback of …

The job interview is considered as one of the most essential tasks in talent recruitment,
which forms a bridge between candidates and employers in fitting the right person for the …