Personality - Based Route Recommendation In Yachting;A Machine Learning Approach Using Big Five Traits

Stok Kodu:
9786258535754
Boyut:
160-235-
Sayfa Sayısı:
110
Baskı:
1
Basım Tarihi:
2026-06-17
Kapak Türü:
Karton
Kağıt Türü:
Kitap Kağıdı
Dili:
İngilizce
Kategori:
%22 indirimli
250,00
195,00
Havale/EFT ile: 185,25
9786258535754
828279
Personality - Based Route Recommendation In Yachting;A Machine Learning Approach Using Big Five Traits
Personality - Based Route Recommendation In Yachting;A Machine Learning Approach Using Big Five Traits
195
Personality-Based Route Recommendation in Yachting explores how individual personality traits shape route and destination preferences in yachting. Combining the Big Five personality model with machine learning techniques, the book offers an innovative perspective at the intersection of tourism, psychology, and artificial intelligence. It examines the foundations of yachting and marina systems, explains key personality theories, and presents a data-driven framework for predicting route choices. By linking human behavior with intelligent recommendation systems, this book contributes both to academic research and to practical applications for personalized maritime tourism services. It is a valuable resource for researchers, practitioners, and readers interested in digital transformation in tourism and decision support systems.
Personality-Based Route Recommendation in Yachting explores how individual personality traits shape route and destination preferences in yachting. Combining the Big Five personality model with machine learning techniques, the book offers an innovative perspective at the intersection of tourism, psychology, and artificial intelligence. It examines the foundations of yachting and marina systems, explains key personality theories, and presents a data-driven framework for predicting route choices. By linking human behavior with intelligent recommendation systems, this book contributes both to academic research and to practical applications for personalized maritime tourism services. It is a valuable resource for researchers, practitioners, and readers interested in digital transformation in tourism and decision support systems.
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