Smart Tourism–The Impact of Artificial Intelligence and Blockchain (Intelligent Systems Reference Library, 249)

✍ Scribed by Aristea Kontogianni, Efthimios Alepis, Maria Virvou, Constantinos Patsakis

• Publisher: Springer
• Year: 2024
• Tongue: English
• Leaves: 192
• Edition: 1st ed. 2024
• Category: Library

✦ Synopsis

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This book offers a fresh perspective on smart tourism, introducing unique frameworks and insights with the potential to shape the industry's future. It explores the convergence of technology, tourism, and smart cities, emphasizing the use of smartphones, social media data, AI, blockchain, crowdsourcing, and crowdsensing to enhance tourism experiences.

What sets it apart is its focus on practical solutions that require minimal infrastructure investments, making it accessible to a wide range of stakeholders. This book addresses knowledge gaps and proposes cutting-edge frameworks for smart tourism development. It is intended for researchers, academics, and professionals in tourism, technology, and urban planning.

Key uses of this book include providing a comprehensive overview of the evolving smart tourism landscape and serving as a valuable resource for researchers and educators in this dynamic field.

✦ Table of Contents

Foreword
References
Preface
Contents
Acronyms
List of Figures
List of Tables
1 Introduction
1.1 Research Objectives
1.2 Book Structure
References
2 Conceptualizing Smart Tourism
2.1 Introduction
2.2 Methodology and Research Approach
2.3 Key Concepts and Approaches
2.3.1 Theoretical Contribution and Literature Review
2.3.2 Context Awareness
2.3.3 Cultural Heritage
2.3.4 Recommender Systems
2.3.5 Social Media
2.3.6 Internet of Things
2.3.7 User Experience
2.3.8 Real Time
2.3.9 User Modelling
2.3.10 Augmented Reality
2.3.11 Artificial Intelligence
2.3.12 Big Data
2.3.13 Cyber Tourism
2.3.14 Privacy and Data Protection
2.3.15 Blockchain
References
3 Mobile Applications in Smart Tourism and Smart Cities Based on Crowdsourcing
3.1 Smart Cities
3.2 Crowdsourcing: State of the Art
3.3 Implementing Crowdsourcing in the Context of Smart Cities
3.3.1 Mobile Crowdsourcing Application for Data Sharing
3.3.2 Mobile Crowdsourcing Application for Signal Measuring
3.4 Smartphone Crowdsourcing and Data Sharing Towards …
3.4.1 Problem Setting and Inspiration
3.4.2 System Architecture
References
4 Mobile Applications in Smart Tourism: Implementing User Modelling
4.1 User Modelling: History & State of Art
4.2 Smart Tourism Through Social Network User Modeling
4.3 Implementing User Modeling Utilising Implicit User Data
4.3.1 Facebook
4.3.2 Instagram
4.3.3 Alternative Social Networking Applications for User Modelling
4.3.4 Smartphone Context Awareness
4.3.5 Semantic Web Technologies for Data Filtering
4.3.6 Realizing Personalization: Application of the Analytic Hierarchy Process
4.3.7 ProfileMe Framework: Research Overview
4.4 Artificial Intelligence & User Modelling
References
5 Artificial Intelligence in Smart Tourism
5.1 Introduction
5.2 Artificial Intelligence
5.3 AI Autonomous Agents
5.4 AI Smart Tourism Recommender Systems
References
6 Implementing Machine Learning for Smart Tourism Frameworks
6.1 Introduction
6.2 Moments of Interest: A Smart Tourism Crowdsourcing Application
6.2.1 Inspiration
6.2.2 Moments of Interest: The Concept
6.2.3 MOIs System Architecture
6.2.4 Background Deep Learning Processing
6.2.5 Conclusion
6.3 Promoting Smart Tourism Personalised Services via a Combination …
6.3.1 Inspiration
6.3.2 Artificial Neural Networks
6.3.3 Background Deep Learning Approaches
6.3.4 Framework Architecture
6.3.5 Model Development and Evaluation
6.3.6 Conclusions and Future Directions
References
7 Smart Tourism Embraces Blockchain
7.1 Introduction
7.2 The Blockchain Data Structure
7.3 Types of Blockchains and Consensus Protocols
7.4 Blockchain: Enabling the Smart Tourism Era
7.4.1 Blockchain Enabled Services
7.4.2 Blockchain Applications in Smart Tourism
7.5 Proposed System Architecture
7.5.1 Blockchain Module
7.5.2 AI Recommendations, Context Awareness and Cybertourism
References
8 Paving the Way for the Post-COVID-19 Era
8.1 Literature Review and Critical Analysis
References
9 Open Questions and Future Directions
9.1 Introduction
9.1.1 Applications
9.1.2 Artificial Intelligence
9.1.3 Blockchain
9.1.4 Big Data
9.1.5 Cyber Tourism and Metaverse
9.1.6 Ethical and Privacy Considerations
9.1.7 Social and Cultural Implications
9.1.8 Government Initiatives
References
10 Conclusions
References