Optimization Design and Implementation of an Intelligent Travel System for Civil Aviation Passengers
Pages 1250 - 1255
Abstract
Intended to effectively solve the problem of high concurrency, high performance, low latency, and high hit rate at low prices in ticket search services, improve ticket search efficiency, and provide new ideas for calculating multiple low-priced itinerary results under limited hardware resources. The intelligent travel recommendation system for civil aviation passengers is based on the SSM (maven) framework, proposes a travel recommendation algorithm, and combines the system requirements to obtain optimization strategies. It can effectively solve the problems of ticket search and seat updates, and achieve intelligent travel recommendation. The innovation of this article lies in proposing a travel recommendation algorithm based on serialized data and optimizing it according to system requirements. The next step is to combine the development of data containers for algorithm optimization.
References
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China Software Cup. A1- High Performance Civil Aviation Passenger Journey Recommendation System. Retrieved March 11, 2022 from https://www.cnsoftbei.com/software/wjst/dishiyijiesaiti/718.html.
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Abdella, J.A., Zaki, N., Shuaib, K., Khan, F. 2019. Airline ticket price and demand prediction: A survey. Journal of King Saud University-Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2019.02.001.
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Yajun Li. 2022. Design and Implementation of B2C Electronic Mall System Based on SSM Framework. Master's Thesis, Hefei University of Technology. https://doi.org/10.27101/d.cnki.ghfgu.2022.000313.
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Yunlong Dong. 2016. Design and Implementation of a Real Time Data Processing System for Air Tickets. Master's Thesis, Harbin Institute of Technology.
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Varshavskiy Ilyas, Stavinova Elizaveta & Chunaev Petr. 2022. Forecasting railway ticket demand with search query open data. Procedia Computer Science. https://doi.org/10.1016/J.PROCS.2022.10.215.
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Index Terms
- Optimization Design and Implementation of an Intelligent Travel System for Civil Aviation Passengers
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Published In
October 2023
1809 pages
ISBN:9798400708305
DOI:10.1145/3650400
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 17 April 2024
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EITCE 2023
EITCE 2023: 2023 7th International Conference on Electronic Information Technology and Computer Engineering
October 20 - 22, 2023
Xiamen, China
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