This paper provides a comprehensive state-of-the-art investigation of the recent advances in
data science in emerging economic applications. The analysis is performed on the novel …

This study provides a comprehensive review of machine learning (ML) applications in the
fields of business and finance. First, it introduces the most commonly used ML techniques …

In light of the emergence of deep reinforcement learning (DRL) in recommender systems
research and several fruitful results in recent years, this survey aims to provide a timely and …

Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the
network performance and coverage in wireless communication. However, due to the …

Recommender systems can mitigate the information overload problem by suggesting users'
personalized items. In real-world recommendations such as e-commerce, a typical …

In light of the emergence of deep reinforcement learning (DRL) in recommender systems
research and several fruitful results in recent years, this survey aims to provide a timely and …

Search, recommendation, and online advertising are the three most important information-
providing mechanisms on the web. These information seeking techniques, satisfying users' …

In e-commerce advertising, it is crucial to jointly consider various performance metrics, eg,
user experience, advertiser utility, and platform revenue. Traditional auction mechanisms …

The progress of brain cognition and learning mechanisms has provided new inspiration for
the next generation of artificial intelligence (AI) and provided the biological basis for the …

Using AI approaches to automatically design mechanisms has been a central research
mission at the interface of AI and economics [Conitzer and Sandholm, 2002]. Previous …