A state-of-the-art review of smart tourism research

F Mehraliyev, ICC Chan, Y Choi… - Journal of Travel & …, 2020 - Taylor & Francis
Using a mixed-method approach combining qualitative and quantitative review techniques,
this study analyzed 86 articles to identify state-of-the-art thematic research trends and …

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 …

DewMusic: crowdsourcing-based internet of music things in dew computing paradigm

S Roy, D Sarkar, D De - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Internet of Things is a promising paradigm that integrates a plethora of heterogeneous
computational devices, incorporating the crowd, frameworks, additional system elements …

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 …

Scalable modelling and recommendation using wiki-based crowdsourced repositories

F Leal, BM Veloso, B Malheiro… - Electronic Commerce …, 2019 - Elsevier
Wiki-based crowdsourced repositories have increasingly become an important source of
information for users in multiple domains. However, as the amount of wiki-based data …

Smart Tourism Destinations Research Trend: A Systematic Literature Review

SE Hiererra, A Ramadhan… - … Conference on ICT for …, 2022 - ieeexplore.ieee.org
Purpose-This study aims to identify and analyze the main themes, the countries, the
destination category, and the current trend regarding Smart Tourism research through a …

[PDF][PDF] Big data processing, analysis and applications in mobile cellular networks

S Brdar, O Novović, N Grujić… - … and Simulation for …, 2019 - library.oapen.org
When coupled with spatio-temporal context, location-based data collected in mobile cellular
networks provide insights into patterns of human activity, interactions, and mobility. Whilst …

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 …

Non-linear machine learning with active sampling for MOX drift compensation

T Matthews, M Iqbal… - 2018 IEEE/ACM 5th …, 2018 - ieeexplore.ieee.org
Metal oxide (MOX) gas detectors based on SnO_2 provide low-cost solutions for real-time
sensing of complex gas mixtures for indoor ambient monitoring. With high sensitivity under …

[PDF][PDF] Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm

M Dehghanimahmoudabadi… - … Management and Soft …, 2024 - journals.qom.ac.ir
Research Article In distributed population systems, cohesive structures prevail, playing a
crucial role in the evolution of species across different sites and fostering diversity. These …