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...

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Vydané v:Applied mathematics and nonlinear sciences Ročník 8; číslo 2; s. 2745 - 2754
Hlavní autori: Zhang, Xiaodong, Peng, Changrong, Liu, Qian, Ma, Yichu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Beirut Sciendo 01.07.2023
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Predmet:
35B30
Big Data
Mathematical equation
Tourism
Towns
Village culture industry
Beijing China
China
ISSN:2444-8656, 2444-8656
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2444-8656
2444-8656
DOI:10.2478/amns.2023.1.00454