Text Refinement Powered by Artificial Intelligence for Tourism
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08510-3.pdf
Reference24 articles.
1. Chaudhari, K., & Thakkar, A. (2019). A comprehensive survey on travel recommender systems. Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-019-09363-7
2. Rong, F. (2016). Design of tourism resource management based on artificial intelligence. In 2016 international conference on intelligent transportation, big data and smart city. ISBN (e): 978-1-5090-6061-0.
3. Sengupta, L., Mariescu-Istodor, R., & Fränti, P. (2018). Planning your route: where to start? Computational Brain and Behavior. https://doi.org/10.1007/s42113-018-0018-0
4. Smirnov, A., Kashevnik, A., Ponomarev, A., Shchekotov, M., & Kulakov, K. (2015). Application for e-tourism: Intelligent mobile tourist guide. In 2015 IIAI 4th international congress on advanced applied informatics. ISBN (e): 978-1-4799-958-3.
5. Arifin, Z., Ibrahim, M. R., & Hatta, H. R. (2016). Nearest tourism site searching using haversine method. In Proceedings of 2016 3rd international conference on information technology, computer and electrical engineering (ICITACEE), Oct 19–21st, 2016, Semarang, Indonesia. ISBN (e): 978-1-5090-0890-2.
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