Publication: Contextual Based E-tourism Application: A Personalized Attraction Recommendation System for Destination Branding and Cultivating Tourism Experiences
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Issued Date
2024-01-01
Resource Type
Scopus ID
2-s2.0-85202592214
Journal Title
5th Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2024 - Proceedings
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SCOPUS
Bibliographic Citation
5th Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2024 - Proceedings (2024)
Suggested Citation
Virutamasen P., Ahadi N., Wang J., Zanjanab A.G., Wongpreedee K., Sohaee N. Contextual Based E-tourism Application: A Personalized Attraction Recommendation System for Destination Branding and Cultivating Tourism Experiences. 5th Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2024 - Proceedings (2024). doi:10.1109/TIMES-ICON61890.2024.10630722 Retrieved from: https://hdl.handle.net/20.500.14740/20557
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Abstract
This research introduces an innovative automated application designed to offer users personalized attraction recommendations tailored to their interests and current situations. Utilizing a contextual model and advanced machine learning techniques, the system constructs a comprehensive user profile by considering factors like historical behavior, current context, and demographic data. This approach addresses limitations observed in conventional personalized recommendation systems, including challenges in suggesting attractions for new users, providing comparable recommendations, and incorporating appropriate weighting. By integrating multi-dimensional user models based on context, the system enhances the platform's personalization and adaptability, ultimately contributing to the augmentation of Destination Branding and the cultivation of enriched Tourism. The research yields practical solutions for optimizing tourism services' personalization and introduces improvements in e-tourism recommender systems, carrying significant implications for both industry practitioners and academic researchers.