Paper
14 August 2019 The cache construction and intelligent imagination of airfare shopping engine
Chun Lu, Jiawei Xu, Chuan Chen, Ni Zhu, Xuelong Cheng
Author Affiliations +
Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 111793A (2019) https://doi.org/10.1117/12.2539976
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
Abstract
This paper mainly introduces the search engine optimization scheme used by airlines to check flight and fare information. The legacy shopping search engine based on IBE has two drawbacks. First, the query efficiency is low. Second, the ability to withstand pressure is weak.In order to solve these problems, based on the application of cloud computing technology, this paper proposes a data cache and data accuracy optimization scheme to build a new shopping cloud engine architecture.We will focus on how to cache data and how to improve the accuracy.The data shows that the cache accuracy has been improved from the initial 75.62% to a maximum of 98.68%. One airline used the optimized shopping search engine architecture proposed in this paper for a year, the retrieval efficiency increased by about 25.1 times, and the concurrent processing capacity increased by 10.5 times.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chun Lu, Jiawei Xu, Chuan Chen, Ni Zhu, and Xuelong Cheng "The cache construction and intelligent imagination of airfare shopping engine", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 111793A (14 August 2019); https://doi.org/10.1117/12.2539976
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KEYWORDS
Data storage

Data modeling

Interfaces

Resistance

Algorithm development

Mining

Optimization (mathematics)

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