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Travel Persona-Based Destinations Recommendation For Enhancing Tourism in Saudi Arabia
Balahmar, Hadeel Alhattami, Shumokh Hamidah, Deema
Balahmar, Hadeel
Alhattami, Shumokh
Hamidah, Deema
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Abstract
In recent years, Saudi Arabia has rapidly expanded its tourism sector, with new projects reshaping the landscape and offering unique, diverse experiences. This growth has led to a rising demand for personalized travel recommendations. By integrating AI, this vision becomes a reality through the development of traveler personas that suggest destinations based on individual preferences. This system is especially useful for users unfamiliar with the city, offering tailored suggestions—including lesser-known attractions—and helping them navigate an overwhelming number of options. Our approach involves creating a high-quality dataset of over 20,000 data points sourced from various platforms, ensuring accuracy and con sistency through preprocessing. The recommendation system uses this dataset and applies content-based filtering enhanced by language models (miniLMs) to generate personalized destination recommendations. It considers multiple features including user preferences, des tination themes, age group, budget, sentiment analysis, and travel keywords to improve the accuracy and relevance of suggestions. The primary goal of this project is to increase visitor satisfaction and support Vision 2030’s objective of positioning Saudi Arabia as a leading global tourism destination.