Responsible processing of crowdsourced tourism data

F Leal, B Malheiro, B Veloso… - Journal of Sustainable …, 2020 - Taylor & Francis
Online tourism crowdsourcing platforms, such as AirBnB, Expedia or TripAdvisor, rely on the
continuous data sharing by tourists and businesses to provide free or paid value-added …

Towards adaptive and transparent tourism recommendations: A survey

F Leal, B Veloso, B Malheiro, JC Burguillo - Expert Systems, 2023 - Wiley Online Library
Crowdsourced data streams are popular and extremely valuable in several domains,
namely in tourism. Tourism crowdsourcing platforms rely on past tourist and business inputs …

Using cryptocurrencies and transactions in medical tourism

H Çapar - Journal of Economic and Administrative Sciences, 2021 - emerald.com
Purpose This study aims to examine the use of cryptocurrencies and transactions in medical
tourism and to discuss how this use provides advantages to healthcare institutions and …

Trust model for online reviews of tourism services and evaluation of destinations

J Zelenka, T Azubuike, M Pásková - Administrative Sciences, 2021 - mdpi.com
Obtaining information about destinations and services they provide is ever more based on
user-generated content (UGC), which includes reviews of tourism services as well as …

Distributed trust & reputation models using blockchain technologies for tourism crowdsourcing platforms

B Veloso, F Leal, B Malheiro, F Moreira - Procedia computer science, 2019 - Elsevier
Crowdsourced repositories have become an increasingly important source of information for
users and businesses in multiple domains. Everyday examples of tourism crowdsourcing …

Stream-based explainable recommendations via blockchain profiling

F Leal, B Veloso, B Malheiro… - Integrated …, 2022 - content.iospress.com
Explainable recommendations enable users to understand why certain items are suggested
and, ultimately, nurture system transparency, trustworthiness, and confidence. Large …

Analysis and prediction of hotel ratings from crowdsourced data

F Leal, B Malheiro, JC Burguillo - … reviews: data mining and …, 2019 - Wiley Online Library
Crowdsourcing has become an essential source of information for tourism stakeholders.
Every day, tourists leave large volumes of feedback data in the form of posts, likes, textual …

Trust and reputation smart contracts for explainable recommendations

F Leal, B Veloso, B Malheiro… - World Conference on …, 2020 - Springer
Recommendation systems are usually evaluated through accuracy and classification
metrics. However, when these systems are supported by crowdsourced data, such metrics …

Crowdsourced data stream mining for tourism recommendation

F Leal, B Veloso, B Malheiro, JC Burguillo - World Conference on …, 2021 - Springer
Crowdsourced data streams are continuous flows of data generated at high rate by users,
also known as the crowd. These data streams are popular and extremely valuable in several …

On the Need for Configurable Travel Recommender Systems: A Systematic Mapping Study

RS Pereira, C Di Sipio, M De Sanctis… - arXiv preprint arXiv …, 2024 - arxiv.org
Travel Recommender Systems TRSs have been proposed to ease the burden of choice in
the travel domain by providing valuable suggestions based on user preferences Despite the …