Application of Computer Big Data Modeling Based on Lagrangian Mathematical Equation in the Village Cultural Industry Model
To understand the Lagrangian mathematical equation, the author proposes an application study of big data modeling in the village cultural industry model. The author takes 20 traditional villages in Beijing as the object, and through crawling relevant Internet cultural and tourism big data, using the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2023-07-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.1.00454 |
| _version_ | 1797266087654457344 |
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| author | Zhang Xiaodong Peng Changrong Liu Qian Ma Yichu |
| author_facet | Zhang Xiaodong Peng Changrong Liu Qian Ma Yichu |
| author_sort | Zhang Xiaodong |
| collection | DOAJ |
| description | To understand the Lagrangian mathematical equation, the author proposes an application study of big data modeling in the village cultural industry model. The author takes 20 traditional villages in Beijing as the object, and through crawling relevant Internet cultural and tourism big data, using the theory of tourism consumer behavior, from the aspects of consumer motivation behavior, food, housing, shopping, and other experience behavior, consumer evaluation behavior, and consumer space-time behavior, carry out targeted content analysis, aggregation analysis, etc, fully reveal the behavioral portrait of tourists in Beijing’s traditional villages. The results show that the overall tourism experience of Beijing’s traditional villages is good, but the development level is quite different, the cultural and tourism supply pattern of “some have boutiques, some have highlights, and the overall influence is weak” is presented to improve the overall level. At the same time, the computer big data based on tourists’ feedback can reasonably reveal the inherent characteristics and problems of traditional village tourism, which is innovative in the current situation where village tourism data is difficult to obtain. |
| first_indexed | 2024-03-07T16:18:50Z |
| format | Article |
| id | doaj.art-8629dae20b23459dab42d16b5f9e271d |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-04-25T00:55:07Z |
| publishDate | 2023-07-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-8629dae20b23459dab42d16b5f9e271d2024-03-11T10:05:47ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562023-07-01822745275410.2478/amns.2023.1.00454Application of Computer Big Data Modeling Based on Lagrangian Mathematical Equation in the Village Cultural Industry ModelZhang Xiaodong0Peng Changrong1Liu Qian2Ma Yichu31College of Art, Hebei University of Economics and Business, Shijiazhuang, 050061, China.1College of Art, Hebei University of Economics and Business, Shijiazhuang, 050061, China.2College of Foreign Languages, Hengshui University, Hengshui, 053000, China.3College of Architecture and Art, Shijiazhuang Railway University, Shijiazhuang, 050043, China.To understand the Lagrangian mathematical equation, the author proposes an application study of big data modeling in the village cultural industry model. The author takes 20 traditional villages in Beijing as the object, and through crawling relevant Internet cultural and tourism big data, using the theory of tourism consumer behavior, from the aspects of consumer motivation behavior, food, housing, shopping, and other experience behavior, consumer evaluation behavior, and consumer space-time behavior, carry out targeted content analysis, aggregation analysis, etc, fully reveal the behavioral portrait of tourists in Beijing’s traditional villages. The results show that the overall tourism experience of Beijing’s traditional villages is good, but the development level is quite different, the cultural and tourism supply pattern of “some have boutiques, some have highlights, and the overall influence is weak” is presented to improve the overall level. At the same time, the computer big data based on tourists’ feedback can reasonably reveal the inherent characteristics and problems of traditional village tourism, which is innovative in the current situation where village tourism data is difficult to obtain.https://doi.org/10.2478/amns.2023.1.00454mathematical equationbig datavillage culture industry35b30 |
| spellingShingle | Zhang Xiaodong Peng Changrong Liu Qian Ma Yichu Application of Computer Big Data Modeling Based on Lagrangian Mathematical Equation in the Village Cultural Industry Model Applied Mathematics and Nonlinear Sciences mathematical equation big data village culture industry 35b30 |
| title | Application of Computer Big Data Modeling Based on Lagrangian Mathematical Equation in the Village Cultural Industry Model |
| title_full | Application of Computer Big Data Modeling Based on Lagrangian Mathematical Equation in the Village Cultural Industry Model |
| title_fullStr | Application of Computer Big Data Modeling Based on Lagrangian Mathematical Equation in the Village Cultural Industry Model |
| title_full_unstemmed | Application of Computer Big Data Modeling Based on Lagrangian Mathematical Equation in the Village Cultural Industry Model |
| title_short | Application of Computer Big Data Modeling Based on Lagrangian Mathematical Equation in the Village Cultural Industry Model |
| title_sort | application of computer big data modeling based on lagrangian mathematical equation in the village cultural industry model |
| topic | mathematical equation big data village culture industry 35b30 |
| url | https://doi.org/10.2478/amns.2023.1.00454 |
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