Innovating Tourism: Personalized Recommendations through AI-Reference-Cited by-同舟云学术

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Innovating Tourism: Personalized Recommendations through AI

Published:2024-04-26 Issue: Volume:202 Page:1-5
ISSN:
Container-title:Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition
language:
Short-container-title:

Author:

Palahan Sirinda¹^ORCID,Arunthari Santipat¹^ORCID

Affiliation:

1. School of Science and Technology, University of the Thai Chamber of Commerce, Thailand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3663976.3663991

Reference14 articles.

1. Smart Nation Singapore. [cited 2024 March 5 2024]; Available from: https://www.smartnation.gov.sg.

2. Orden-Mejia, M. and A. Huertas, Analysis of the attributes of smart tourism technologies in destination chatbots that influence tourist satisaction. Current Issues in Tourism, 2022. 25(17): p. 2854-2869.

3. Filieri, R., , Artificial intelligence (AI) for tourism: an European-based study on successful AI tourism start-ups. International Journal of Contemporary Hospitality Management, 2021. 33(11): p. 4099-4125.

4. Nguyen, H.T., , AI Chatbot for Tourist Recommendations: A Case Study in Vietnam. Applied Computer Systems, 2023. 28(2): p. 232-244.

5. Alotaibi, R., , AI chatbot for tourist recommendations: a case study in the city of Jeddah, Saudi Arabia. 2020.

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