Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation System
In order to define the positioning of the urban brand image, design the urban brand image, integrate and optimize the communication channels, improve the public participation awareness, and enhance the core competitiveness of the city. In this paper, a personalized recommendation search engine based...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Journal of Function Spaces |
| Online Access: | http://dx.doi.org/10.1155/2022/9378800 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832563295307956224 |
|---|---|
| author | Yan Lin Guofeng Hu |
| author_facet | Yan Lin Guofeng Hu |
| author_sort | Yan Lin |
| collection | DOAJ |
| description | In order to define the positioning of the urban brand image, design the urban brand image, integrate and optimize the communication channels, improve the public participation awareness, and enhance the core competitiveness of the city. In this paper, a personalized recommendation search engine based on big data identifies keywords input by urban users. And give more accurate results based on some relevant information that can be extracted. This paper analyzes how to make better use of big data for tourism destination brand image management, and the existing shortcomings, and puts forward relevant suggestions. The industries related to cultural creative design and tourism elements constitute an intertwined cultural and tourism industry chain, and data technology plays an important role in the cultural and tourism industry chain. Through the development of tourism, tourists will produce comprehensive and diversified consumption in the city. Based on the analysis of big data, it can provide strong decision support for the government and industry managers, and realize the image design and communication of the urban brand identification system. Through the big data platform, establish the brand management strategy, improve the communication content of the city’s brand image, and timely feedback the opinions and suggestions of tourists on the tourism destination, so as to adjust the communication strategy of the tourism image according to the feedback information of tourists. The results show that the big data personalized recommendation system can achieve ideal results in urban brand value and urban tourism related factors. |
| format | Article |
| id | doaj-art-6e5bb40d439c467595ab94de0fa31d7b |
| institution | Kabale University |
| issn | 2314-8888 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Function Spaces |
| spelling | doaj-art-6e5bb40d439c467595ab94de0fa31d7b2025-02-03T01:20:35ZengWileyJournal of Function Spaces2314-88882022-01-01202210.1155/2022/9378800Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation SystemYan Lin0Guofeng Hu1School of Art and DesignSchool of Art and DesignIn order to define the positioning of the urban brand image, design the urban brand image, integrate and optimize the communication channels, improve the public participation awareness, and enhance the core competitiveness of the city. In this paper, a personalized recommendation search engine based on big data identifies keywords input by urban users. And give more accurate results based on some relevant information that can be extracted. This paper analyzes how to make better use of big data for tourism destination brand image management, and the existing shortcomings, and puts forward relevant suggestions. The industries related to cultural creative design and tourism elements constitute an intertwined cultural and tourism industry chain, and data technology plays an important role in the cultural and tourism industry chain. Through the development of tourism, tourists will produce comprehensive and diversified consumption in the city. Based on the analysis of big data, it can provide strong decision support for the government and industry managers, and realize the image design and communication of the urban brand identification system. Through the big data platform, establish the brand management strategy, improve the communication content of the city’s brand image, and timely feedback the opinions and suggestions of tourists on the tourism destination, so as to adjust the communication strategy of the tourism image according to the feedback information of tourists. The results show that the big data personalized recommendation system can achieve ideal results in urban brand value and urban tourism related factors.http://dx.doi.org/10.1155/2022/9378800 |
| spellingShingle | Yan Lin Guofeng Hu Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation System Journal of Function Spaces |
| title | Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation System |
| title_full | Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation System |
| title_fullStr | Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation System |
| title_full_unstemmed | Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation System |
| title_short | Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation System |
| title_sort | design and communication of city brand image based on big data and personalized recommendation system |
| url | http://dx.doi.org/10.1155/2022/9378800 |
| work_keys_str_mv | AT yanlin designandcommunicationofcitybrandimagebasedonbigdataandpersonalizedrecommendationsystem AT guofenghu designandcommunicationofcitybrandimagebasedonbigdataandpersonalizedrecommendationsystem |