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 …
Drug package recommendation via interaction-aware graph induction
Recent years have witnessed the rapid accumulation of massive electronic medical records
(EMRs), which highly support the intelligent medical services such as drug recommendation …
(EMRs), which highly support the intelligent medical services such as drug recommendation …
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 …
Attentive heterogeneous graph embedding for job mobility prediction
Job mobility prediction is an emerging research topic that can benefit both organizations and
talents in various ways, such as job recommendation, talent recruitment, and career …
talents in various ways, such as job recommendation, talent recruitment, and career …
Competitive analysis for points of interest
The competitive relationship of Points of Interest (POIs) refers to the degree of competition
between two POIs for business opportunities from third parties in an urban area. Existing …
between two POIs for business opportunities from third parties in an urban area. Existing …
Collaboration-Aware Hybrid Learning for Knowledge Development Prediction
In recent years, the rise of online Knowledge Management Systems (KMSs) has significantly
improved work efficiency in enterprises. Knowledge development prediction, as a critical …
improved work efficiency in enterprises. Knowledge development prediction, as a critical …
Talent demand-supply joint prediction with dynamic heterogeneous graph enhanced meta-learning
Talent demand and supply forecasting aims to model the variation of the labor market, which
is crucial to companies for recruitment strategy adjustment and to job seekers for proactive …
is crucial to companies for recruitment strategy adjustment and to job seekers for proactive …
Cost-effective and interpretable job skill recommendation with deep reinforcement learning
Nowadays, as organizations operate in very fast-paced and competitive environments,
workforce has to be agile and adaptable to regularly learning new job skills. However, it is …
workforce has to be agile and adaptable to regularly learning new job skills. However, it is …
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification
Patent classification has long been treated as a crucial task to support related services.
Though large efforts have been made on the automatic patent classification task, those prior …
Though large efforts have been made on the automatic patent classification task, those prior …