WCSE

PATH: Personalized Assistance Tool for Holidays — An Initial Prototype for Smart Tourism Recommendations

Abstract— Given the wide variety of destination options available, travel planning has become a complex and time-consuming task. Recommendation systems offer practical solutions to aid in the selection process by categorizing and ranking the options. In this paper, we present a prototype of an intelligent recommendation system to assist travelers. Our system relies on user preferences, inputs including budget, number of people, type of transportation, etc., and contextual factors to generate suggestions for suitable destinations. The system is designed modularly and combines filter-based selection and user interaction to produce personalized recommendations. We noticed that there is a gap between user needs and preference, and digital travel planning therefore we aimed at bridging this gap by providing a tourist recommender system that is user-friendly, simple, responsive and adaptable. The system was tested using various scenarios and demonstrated its ability to provide recommendations based on users’ budget and preferences. While we are still in the early stages of developing an application that is scalable and requires real-time data integration, our contribution is a prototype of a functioning personalized assistant for travel planning.

Index Terms— Tourism Recommender Systems, Context based, Personalized recommendations

Hazem Fenneer
Universiti Teknologi Malaysia, MALAYSIA
Taher Omran Ahmed
University of Technology and Applied Sciences-Ibri, OMAN

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Cite: Hazem Fenneer, Taher Omran Ahmed, "PATH: Personalized Assistance Tool for Holidays — An Initial Prototype for Smart Tourism Recommendations", 2025 the 15th International Workshop on Computer Science and Engineering (WCSE 2025), pp. 27-31, Jeju Island, South Korea, June 28-30, 2025.