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Optimization Design and Implementation of an Intelligent Travel System for Civil Aviation Passengers

Published: 17 April 2024 Publication History

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.

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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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    EITCE '23: Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering
    October 2023
    1809 pages
    ISBN:9798400708305
    DOI:10.1145/3650400
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 17 April 2024

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