Yang et al., 2024 - Google Patents
Personalized tourism recommendations and the E-tourism user experienceYang 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 …
- 238000011160 research 0 abstract description 86
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