Min Yuan
ABSTRACT
Tourism is closely related to people's lives today, and the development level of tourism informatization is an important indicator to measure the modern tourism industry. At present, more and more data on the Internet is released in the form of linked data, which reduces the complexity of the integration of distributed, heterogeneous or autonomous data, and at the same time promotes the application of linked data. The purpose of this article is to model the influence of Seoul's city image on tourists' willingness to revisit based on parallel computing. This paper studies the similarity calculation efficiency in the data set of passenger-related passenger revisiting intention resources. According to the established tourist tourism ontology, this paper adopts the MapReduce parallel computing framework to design a parallel computing method of related data similarity to improve the discovery efficiency of the related data model of the willingness of large-scale tourists to revisit. Experimental research shows that this article analyzes the difference in perceptions of various image factors by tourists of different ages, and finds that the Р value in the single-factor analysis of variance table is greater than 0.05, indicating that tourists of different ages do not have significant perceptions of each image factor.
- Park H K , Choi J , Shin S H . Analysis of Influence of KLPGA Tour Service Quality Factors on Willingness to Revisit[J]. Korean Journal of Sport Management, 2017, 22(1):47-64.Google Scholar
Cross Ref
- Song M , Lee W S , Moon J . Effect of DINESERV on willingness to pay premium and revisit intention: case of Starbucks[J]. Korean Journal of Hospitality & Tourism, 2020, 29(4):263-277.Google ScholarCross Ref
- Chuchu T , Chiliya N , Chinomona R . Investigating the Impact of Destination Image on Travellers' Intention to Revisit South Africa: A Case of International Tourists[J]. e-Review of Tourism Research, 2019, 16(6):567-587.Google Scholar
- Gnutzmann-Mkrtchyan A , Lester S . Does safeguards need saving? : lessons from the Ukraine - Passenger Cars dispute[J]. World Trade Review, 2017, 16(2):227-251.Google ScholarCross Ref
- Yue Z , Yoshigoe K , Jiang B , A Distributed Graph-Parallel Computing System with Lightweight Communication Overhead[J]. IEEE Transactions on Big Data, 2017, 2(3):204-218.Google Scholar
- Chu J F , Wu J , Song M L . An SBM-DEA model with parallel computing design for environmental efficiency evaluation in the big data context: a transportation system application[J]. Annals of Operations Research, 2018, 270(1):105-124.Google ScholarCross Ref
- Kour P , Gupta S , Jasrotia A . UNDERSTANDING THE IMPACT OF AIRPORT SERVICE QUALITY ON PASSENGERS' REVISIT INTENTIONS AMIDST COVID-19 PANDEMIC[J]. ENLIGHTENING TOURISM A PATHMAKING JOURNAL, 2020, 10(2):358-386.Google ScholarCross Ref
- Huang J W , Zhang L Q , Jiang Z Y , Heterogeneous parallel computing accelerated iterative subpixel digital image correlation[J]. Science China Technological Sciences, 2018, 61(001):74-85.Google ScholarCross Ref
- Li J , Niu J , Huang C , Parallel computing techniques for concept-cognitive learning based on granular computing[J]. International Journal of Machine Learning and Cybernetics, 2018, 9(3):1-21.Google Scholar
- Antony T , Grant M J . Rapid Indirect Trajectory Optimization on Highly Parallel Computing Architectures[J]. Journal of Spacecraft and Rockets, 2017, 54(8):1-11.Google Scholar
- D Rossi, Pullini A , Loi I , Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster[J]. IEEE Micro, 2017, 37(5):20-31.Google ScholarDigital Library
- Liu F , Zhang L . Long Term Optimal Operation of Cascade Hydropower Based on Multicore Cluster Parallel Computing and Large System Decomposition-coordination[J]. proceedings of the csee, 2017, 37(9):2479-2490.Google Scholar
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