#smrgKİTABEVİ Personality-Based Route Recommendation In Yachting A Machine Learning Approach Using Big Five Traits -
Editör:
Kondisyon:
Yeni
Sunuş / Önsöz / Sonsöz / Giriş:
ISBN-10:
9786258535754
Hazırlayan:
Ural Gökay Çiçekli , Can Karaosmanoğlu
Cilt:
Amerikan Cilt
Boyut:
16x24
Sayfa Sayısı:
110
Basım Yeri:
İstanbul
Baskı:
1
Basım Tarihi:
2026
Kapak Türü:
Karton Kapak
Kağıt Türü:
Enso
Dili:
İngilizce
Kategori:
indirimli
212,50
Havale/EFT ile:
208,25
Siparişiniz 4&6 iş günü arasında kargoda
1199263386
651028
https://www.simurgkitabevi.com/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 - #smrgKİTABEVİ
212.5
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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