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Yang et al., 2024 - Google Patents

Personalized tourism recommendations and the E-tourism user experience

Yang et al., 2024

Document ID
8512256818779804200
Author
Yang X
Zhang L
Feng Z
Publication year
Publication venue
Journal of Travel Research

External Links

Snippet

Previous research indicates that personalized tourism recommendation (PTR) is becoming increasingly important in tourism marketing. However, many areas of PTR remain unexplored. This study is based on Stimulus-Organism-Response theory; integrated …
Continue reading at journals.sagepub.com (other versions)

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