Enhancing Personalized Services in Tianfu Cultural Tourism: Pathways and Strategies Based on User Profiling

Against the backdrop of a burgeoning global cultural tourism industry, Tianfu cultural tourism has emerged as a vital driver of economic growth in Sichuan, owing to its unique natural and cultural resources. To address the growing demand for personalized experiences among tourists, this study explores the application of user profiling technologies to enhance the delivery of personalized services in Tianfu cultural tourism. Leveraging big data and artificial intelligence, the study proposes a service optimization framework centered on data collection, profile analysis, and precise content delivery. By examining domestic and international case studies, the research underscores the importance of policy support, industry collaboration, and service innovation. Personalized services significantly enhance tourist experiences and loyalty, fostering the digital transformation and sustainable development of the cultural tourism industry.

Authors

Publication Details

Journal
Philosophy and social science.
Published
2024-09-01
DOI
https://doi.org/10.62381/p243915
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Personalized Services in Tianfu Cultural Tourism: Pathways and Strategies Based on User Profiling

Huajie Zhou, Zhengrong Luo, Jian Wu, Jinyang Jiang
Philosophy and social science.
Digital Marketing and Social Media
article

Enhancing Personalized Services in Tianfu Cultural Tourism: Pathways and Strategies Based on User Profiling

Huajie Zhou, Zhengrong Luo, Jian Wu, Jinyang Jiang
article en

Abstract

Against the backdrop of a burgeoning global cultural tourism industry, Tianfu cultural tourism has emerged as a vital driver of economic growth in Sichuan, owing to its unique natural and cultural resources. To address the growing demand for personalized experiences among tourists, this study explores the application of user profiling technologies to enhance the delivery of personalized services in Tianfu cultural tourism. Leveraging big data and artificial intelligence, the study proposes a service optimization framework centered on data collection, profile analysis, and precise content delivery. By examining domestic and international case studies, the research underscores the importance of policy support, industry collaboration, and service innovation. Personalized services significantly enhance tourist experiences and loyalty, fostering the digital transformation and sustainable development of the cultural tourism industry.

Philosophy and social science.Vol. 1(9)
Openalex Percentile: Top 54%
Digital Marketing and Social Media
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