The widespread adoption of Industrial Internet of Things (IIoT) has significantly transformed
various aspects of industrial manufacturing. However, the massive volume and complexity of …

Situation-awareness-based decision-making (SABDM) models constructed using cognitive
maps and goal-direct task analysis techniques have been successfully used in decision …

Interpersonal communication is key in managing people's emotions on digital platforms.
Studies have shown that people use social media to regulate their emotions and find …

Bandit model is a general framework for solving the cold-start problem in recommender
systems. In recent works, clustering strategies have been adopted in the bandit settings to …

In the context of smart tourism, the utilization of recommender systems is becoming
increasingly critical for enhancing the personalization and quality of travel experiences …

Contextual bandits efficiently solve the exploration and exploitation (EE) problem in online
recommendation tasks. Most existing contextual bandit algorithms utilize a fixed reward …

In the realm of e-commerce, accurately predicting sales and the success trajectory of newly
launched cold-start products poses a significant challenge. This work presents a scalable AI …

This paper delves into the fundamental concept of the Multi-Armed Bandit (MAB) problem,
structuring its analysis around two primary phases. The initial phase, exploration, is …

This paper delves into the application of the Multi-Armed Bandit (MAB) algorithm in
recommendation systems, a tool increasingly prevalent across diverse sectors such as e …

Reinforcement learning traditionally plays a pivotal role in artificial intelligence and various
practical applications, focusing on the interaction between an agent and its environment …