Aristea Kontogianni

Orcid: 0000-0002-0448-4247

According to our database1, Aristea Kontogianni authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Smart Tourism-The Impact of Artificial Intelligence and Blockchain
Intelligent Systems Reference Library 249, Springer, ISBN: 978-3-031-50882-0, 2024

2023
User crowdsourced and crowdsensed data and artificial intelligence enhanced mobile apps for smart tourism and smart cities
PhD thesis, 2023

Tourism embraces blockchain towards the smart tourism era.
Intell. Decis. Technol., 2023

Social Network Data Enabling Smart Tourism.
Proceedings of the 14th International Conference on Information, 2023

2022
Promoting smart tourism personalised services via a combination of deep learning techniques.
Expert Syst. Appl., 2022

AI, Blockchain & Cyber tourism joining the Smart Tourism realm.
Proceedings of the 13th International Conference on Information, 2022

2020
Smartphone Crowdsourcing and Data Sharing Towards Advancing User Experience and Mobile Services.
Int. J. Interact. Mob. Technol., 2020

Smart tourism: State of the art and literature review for the last six years.
Array, 2020

2019
Moments of Interest: A novel cloud-based crowdsourcing application enhancing smart tourism recommendations.
Proceedings of the 11th Computer Science and Electronic Engineering Conference, 2019

2018
Designing a Smart Tourism Mobile Application: User Modelling Through Social Networks' User Implicit Data.
Proceedings of the Social Informatics, 2018

Smart Tourism Through Social Network User Modeling: A Literature Review.
Proceedings of the 9th International Conference on Information, 2018

2017
HotSpotCrowd: A crowd sourced based application for sharing data between mobile devices.
Proceedings of the 8th International Conference on Information, 2017

Mapping the Wireless Coverage Grid for Carrier and User Recommendations through Crowdsourcing.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017


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