A comprehensive survey of artificial intelligence techniques for talent analytics
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 …
organizations to rethink how to make talent-related decisions in a quantitative manner …
Interaction-aware drug package recommendation via policy gradient
Recent years have witnessed the rapid accumulation of massive electronic medical records,
which highly support intelligent medical services such as drug recommendation. However …
which highly support intelligent medical services such as drug recommendation. However …
Automatic skill-oriented question generation and recommendation for intelligent job interviews
Job interviews are the most widely accepted method for companies to select suitable
candidates, and a critical challenge is finding the right questions to ask job candidates …
candidates, and a critical challenge is finding the right questions to ask job candidates …
Rdgt: enhancing group cognitive diagnosis with relation-guided dual-side graph transformer
Cognitive diagnosis has been widely recognized as a crucial task in the field of
computational education, which is capable of learning the knowledge profiles of students …
computational education, which is capable of learning the knowledge profiles of students …
Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach
With the rapid development of enterprise Learning Management Systems (LMS), more and
more companies are trying to build enterprise training and course learning platforms for …
more companies are trying to build enterprise training and course learning platforms for …
Using deep learning to find the next unicorn: A practical synthesis
Startups often represent newly established business models associated with disruptive
innovation and high scalability. They are commonly regarded as powerful engines for …
innovation and high scalability. They are commonly regarded as powerful engines for …
Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer
L Cao, G Halvardsson, A McCornack… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper addresses the growing application of data-driven approaches within the Private
Equity (PE) industry, particularly in sourcing investment targets (ie, companies) for Venture …
Equity (PE) industry, particularly in sourcing investment targets (ie, companies) for Venture …
AI for Investment: A Platform Disruption
With the investment landscape becoming more competitive, efficiently scaling deal sourcing
and improving deal insights have become a dominant strategy for funds. While funds are …
and improving deal insights have become a dominant strategy for funds. While funds are …
Which companies are likely to invest: knowledge-graph-based recommendation for investment promotion
Investment promotion refers to the process by which the government uses disposable
resources to attract investors to the region for production and business activities. The …
resources to attract investors to the region for production and business activities. The …
Robust graph embedding recommendation against data poisoning attack
With the development of recommendation system technology, more and more Internet
services are applied to recommendation systems. In recommendation systems, matrix …
services are applied to recommendation systems. In recommendation systems, matrix …