On the tourism marketing by WeChat official account of Dehong Dai and Jingpo autonomous prefecture for the National Day golden week in 2016 against the backdrop of big data

Si-yuan, Lou; Qing-zhong, Ming

doi:10.1109/icbda.2017.8078688

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The literature has conducted in-depth research from two aspects of WeChat marketing and performance evaluation. Combining the development stage of WeChat marketing and the current situation and shortcomings of scenic spot WeChat marketing performance evaluation, based on the AISAS theory, the WeChat end scenic spot regional index marketing performance evaluation system has been established [12]. The literature defines the concepts of WeChat marketing and WeChat scenic spot marketing, and proposes that the WeChat scenic spot marketing involved in this paper is based on WeChat official account marketing [13].…”

Section: Related Workmentioning

confidence: 99%

Application of Internet big data analysis technology based on deep learning in tourism marketing performance evaluation

Yin

2023

Preprint

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Marketing through the network is the basic marketing method in the information age. It has certain marketing value, and its position has gradually become stable. It has become the mainstream marketing method, especially praised by the tourism industry, which has injected fresh blood into this field. As the development of tourism market is dynamic, businesses will consider the needs of tourists when paying attention to its development process, so as to design performance evaluation criteria for tourism marketing. Under this research background, this paper has completed the Internet marketing performance evaluation system for the tourism market by introducing big data analysis technology and in-depth learning technology. This system can effectively evaluate the actual development of the tourism industry, and the system design comprehensively considers the 360-degree performance appraisal and balanced integral models. Based on the actual tourism data of a certain place, this study summarizes some additional evaluation indicators, thus improving the evaluation model and laying the foundation for the introduction of data and model construction process of AHP. According to the principle of maximum membership, the following experimental results can be obtained: due to the poor performance evaluation results of a scenic spot, its membership is the largest. It can be seen from this that the Internet marketing performance evaluation system for the tourism market has practical application value and can effectively analyze market performance. This paper improves the performance evaluation system by introducing in-depth learning and big data analysis technology into the tourism market performance analysis.

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Section: Related Workmentioning

confidence: 99%

Application of Internet big data analysis technology based on deep learning in tourism marketing performance evaluation

Yin

2023

Preprint

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“…These studies provide a basis and reference for the evaluation of tourism new media. Of the few studies about the tourism new media, most of them are from the perspective of marketing and communication, such as online marketing processes [22], marketing potential and effectiveness [23], and audience influence [24] of tourism enterprises, tourist attractions, and destinations. However, tourism new media is not only a marketing channel, but also a new carrier for tourism organizations and tourist attractions that serve tourists using mobile information technology [25,26], as well as a new force for shaping geographic space in the mobile Internet era.…”

Section: Introductionmentioning

confidence: 99%

Indicator System and Construction Level of Online Service Functions on New Media Platforms of Tourist Attractions: A Case Study of Yangzhou City, China

Liu

2023

Sustainability

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Along with the rapid development of the mobile Internet, new media platforms are an important medium to assist tourist attractions in reaching tourists with their tourism services. This study takes the tourist attractions in Yangzhou, a famous historical and cultural city in China, as the research cases. First, a classification system for the online service functions on new media platforms (NMPOSF) of tourist attractions is proposed. Then, an indicator system for evaluating the construction level of NMPOSFs is constructed using the hierarchical analysis method. Finally, the construction level of NMPOSFs for 57 A-grade tourist attractions in Yangzhou City of China is evaluated and analyzed based on the indicator system. The main conclusions are as follows: (1) There are four first-level functional indicators of NMPOSFs for tourist attractions: information push, local service, electronic business and interactive consultation, as well as 24 second-level functional indicators; (2) There are significant differences in the construction level of NMPOSFs among new media platforms. Currently, Amap has advantages in the number of tourist attractions, the number of service functions and comprehensive scores; (3) The construction level of different types of NMPOSFs also differs. The type of highest construction level is interactive consultation, and the type of lowest construction level is local service; (4) There is still a great deal of room for the NMPOSFs for tourism attractions of A-grade or above to be improved in Yangzhou City, and Slender West Lake currently has the highest NMPOSF construction level. This study provides an empirical basis for the functional construction and service enhancement of new media platforms for tourist attractions in the mobile Internet era.

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RETRACTED ARTICLE: Application of Internet big data analysis technology based on deep learning in tourism marketing performance evaluation

Yin

2023

Soft Comput

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On the tourism marketing by WeChat official account of Dehong Dai and Jingpo autonomous prefecture for the National Day golden week in 2016 against the backdrop of big data

Cited by 4 publications

References 6 publications

Application of Internet big data analysis technology based on deep learning in tourism marketing performance evaluation

Application of Internet big data analysis technology based on deep learning in tourism marketing performance evaluation

Indicator System and Construction Level of Online Service Functions on New Media Platforms of Tourist Attractions: A Case Study of Yangzhou City, China

RETRACTED ARTICLE: Application of Internet big data analysis technology based on deep learning in tourism marketing performance evaluation

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