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Publicação
Lisa: A touristic chatbot for Lisbon
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Resumo(s)
As Lisbon continues to attract a growing number of visitors, the development of a tailored
chatbot catering to the tourists’ unique needs becomes increasingly valuable. In this thesis,
we develop an engaging general-purpose chatbot that can fulfill the unique needs of Lisbon’s
tourists. Utilizing a web-scraped knowledge base with over 2000 website pages, the chatbot
offers recommendations for tourist routes, events and places to visit and answers queries
about Lisbon. Two evaluations datasets, one for question-answering and the other for
recommendations, were created based on synthetic data. Various experiments, including data
preprocessing, exploration of different ChatGPT models, and improvements to the retrievalaugmented generation pipeline, were conducted to improve the chatbot. This thesis
contributes to literature on chatbot development, emphasizing the benefits of more advanced
machine learning models in the tourism industry. It also demonstrates the potential of
iterative optimization of large language models and evaluation based on synthetic data for
downstream tasks.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Palavras-chave
chatbot transformer chatgpt tourism natural language processing SDG 11 - Sustainable cities and communities