EverywhereGPT: An AI Travel Planning Assistant Based on ChatGPT
Author: 
Bohao LiAuthors Info & Claims
Bohao LiAuthors Info & ClaimsPages 995 - 1003
Abstract
Natural language processing models powered by the use of AI technology have now entered the lives of most people and continue to improve the efficiency of people's work and life. With the support of large data samples, this new technology is able to accomplish some otherwise tedious tasks more efficiently. Driven by ChatGPT, through a few easy-to-understand pages and a complete human-computer interaction process, allowing users to enter the name of the destination city as well as some keywords to quickly get a travel plan based on the timeline given, and to be able to provide as much travel advice and help as possible, so that the user, i.e., the traveler, can understand more about the trip, making the whole plan a more practical reference value, which is what EverywhereGPT has done.
References
[1]
Xu R, Feng Y, Chen H. Chatgpt vs. google: A comparative study of search performance and user experience[J]. arXiv preprint arXiv:2307.01135, 2023.
[2]
Aharoni R, Johnson M, Firat O. Massively multilingual neural machine translation[J]. arXiv preprint arXiv:1903.00089, 2019.
[3]
Bob Sharp. 2023. 7 Prompting Techniques to Improve Your ChatGPT Responses. https://www.makeuseof.com/prompting-techniques-to-improve-chatgpt-responses/
[4]
Fesenmaier D R, Xiang Z, Pan B, A framework of search engine use for travel planning [J]. Journal of Travel Research, 2011, 50(6): 587-601.
[5]
van Bladel K, Bellemans T, Janssens D, Activity travel planning and rescheduling behavior: empirical analysis of influencing factors[J]. Transportation research record, 2009, 2134(1): 135-142.
[6]
Lisi, F.A., Esposito, F. 2015. An AI Application to Integrated Tourism Planning. In: Gavanelli, M., Lamma, E., Riguzzi, F. (eds) AI*IA 2015 Advances in Artificial Intelligence. AI*IA 2015. Lecture Notes in Computer Science(), vol 9336. Springer, Cham. https://doi.org/10.1007/978-3-319-24309-2_19
[7]
Maobin Ding, "Research on Tourism Route Planning Based on Artificial Intelligence Technology", Wireless Communications and Mobile Computing, vol. 2021, Article ID 2227798, 7 pages, 2021. https://doi.org/10.1155/2021/2227798
[8]
Chowdhary K R, Chowdhary K R. Natural language processing[J]. Fundamentals of artificial intelligence, 2020: 603-649.
[9]
Jiao W, Wang W, Huang J, Is ChatGPT a good translator? A preliminary study[J]. arXiv preprint arXiv:2301.08745, 2023.
[10]
George Lawton. 2023. ChatGPT vs. GPT: How are they different. https://www.techtarget.com/searchenterpriseai/feature/ChatGPT-vs-GPT-How-are-they-different
[11]
Shahriar S, Hayawi K. Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations[J]. arXiv preprint arXiv:2302.13817, 2023.
[12]
Cornet Y, Lugano G, Georgouli C, Worthwhile travel time: a conceptual framework of the perceived value of enjoyment, productivity and fitness while travelling[J]. Transport Reviews, 2022, 42(5): 580-603.
[13]
Kim J H. Determining the factors affecting the memorable nature of travel experiences[J]. Journal of Travel & Tourism Marketing, 2010, 27(8): 780-796.
[14]
Becken S, Wilson J. The impacts of weather on tourist travel[J]. Tourism Geographies, 2013, 15(4): 620-639.
[15]
Nebeling M, Norrie M C. Responsive design and development: methods, technologies and current issues[C]//Web Engineering: 13th International Conference, ICWE 2013, Aalborg, Denmark, July 8-12, 2013. Proceedings 13. Springer Berlin Heidelberg, 2013: 510-513.
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- EverywhereGPT: An AI Travel Planning Assistant Based on ChatGPT
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Published In
November 2023
1263 pages
ISBN:9798400708831
DOI:10.1145/3652628
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 23 May 2024
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ICAICE 2023
ICAICE 2023: The 4th International Conference on Artificial Intelligence and Computer Engineering
November 17 - 19, 2023
Dalian, China
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