Inicio  /  Algorithms  /  Vol: 16 Par: 1 (2023)  /  Artículo
ARTÍCULO
TITULO

A Design Concept for a Tourism Recommender System for Regional Development

Leyla Gamidullaeva    
Alexey Finogeev    
Mikhail Kataev and Larisa Bulysheva    

Resumen

Despite of tourism infrastructure and software, the development of tourism is hampered due to the lack of information support, which encapsulates various aspects of travel implementation. This paper highlights a demand for integrating various approaches and methods to develop a universal tourism information recommender system when building individual tourist routes. The study objective is proposing a concept of a universal information recommender system for building a personalized tourist route. The developed design concept for such a system involves a procedure for data collection and preparation for tourism product synthesis; a methodology for tourism product formation according to user preferences; the main stages of this methodology implementation. To collect and store information from real travelers, this paper proposes to use elements of blockchain technology in order to ensure information security. A model that specifies the key elements of a tourist route planning process is presented. This article can serve as a reference and knowledge base for digital business system analysts, system designers, and digital tourism business implementers for better digital business system design and implementation in the tourism sector.

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