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A Chatbot to Enhance the Portuguese National Tourism Website

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Detalhes bibliográficos
Resumo:The digital transformation of tourism in Portugal has led to the integration of AI-driven solutions to improve visitor engagement. This paper presents the development and implementation of a chatbot for the Portuguese national tourism website, VisitPortugal. The chatbot utilizes natural language processing to provide real-time, personalized assistance across multiple languages, including European languages (Portuguese, English, French, Spanish) and East Asian languages (Traditional Chinese), demonstrating robust cross-linguistic semantic understanding. The architecture incorporates a web crawler to collect and process tourism-related data, a vector database for efficient content retrieval, and GPT-4o Mini for generating contextually relevant responses. By filling gaps in tourism services, the chatbot improves the user experience, increases accessibility, and reinforces Portugal's position as a technologically advanced tourist destination. The results demonstrate high accuracy in the responses, reinforcing the effectiveness of the chatbot in facilitating seamless travel planning.
Autores principais:Telmo Sampaio
Outros Autores:Oliveira, Pedro Filipe; Matos, Paulo
Assunto:Chatbot llm Smart-tourism Web-crawler
Ano:2025
País:Portugal
Tipo de documento:atas de conferência
Tipo de acesso:acesso restrito
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
Descrição
Resumo:The digital transformation of tourism in Portugal has led to the integration of AI-driven solutions to improve visitor engagement. This paper presents the development and implementation of a chatbot for the Portuguese national tourism website, VisitPortugal. The chatbot utilizes natural language processing to provide real-time, personalized assistance across multiple languages, including European languages (Portuguese, English, French, Spanish) and East Asian languages (Traditional Chinese), demonstrating robust cross-linguistic semantic understanding. The architecture incorporates a web crawler to collect and process tourism-related data, a vector database for efficient content retrieval, and GPT-4o Mini for generating contextually relevant responses. By filling gaps in tourism services, the chatbot improves the user experience, increases accessibility, and reinforces Portugal's position as a technologically advanced tourist destination. The results demonstrate high accuracy in the responses, reinforcing the effectiveness of the chatbot in facilitating seamless travel planning.