Responsible processing of crowdsourced tourism data
Autor: | Benedita Malheiro, Juan C. Burguillo, Fátima Leal, Bruno Veloso |
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Přispěvatelé: | Repositório Científico do Instituto Politécnico do Porto |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Responsibility
Traceability Geography Planning and Development Recommendations Transparency Crowdsourcing 0502 economics and business Authenticity and traceability Accountability Data stream mining business.industry 05 social sciences Accountability responsibility and transparency Environmental economics Recommendation Explainability Transparency (behavior) Authenticity Continuous data Sustainability Tourism Leisure and Hospitality Management ComputerApplications_GENERAL 050211 marketing Digital tourism Trends business 050212 sport leisure & tourism Tourism |
Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
Popis: | 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 services. When adequately processed, these data streams can be used to explain and support businesses in the early identification of trends as well as prospective tourists in obtaining tailored recommendations, increasing the confidence in the platform and empowering further end-users. However, existing platforms still do not embrace the desired accountability, responsibility and transparency (ART) design principles, underlying to the concept of sustainable tourism. The objective of this work is to study this problem, identify the most promising techniques which follow these principles and design a novel ART-compliant processing pipeline. To this end, this work surveys: (i) real-time data stream mining techniques for recommendation and trend identification; (ii) trust and reputation (T&R) modelling of data contributors; (iii) chained-based storage of trust models as smart contracts for traceability and authenticity; and (iv) trust- and reputation-based explanations for a transparent and satisfying user experience. The proposed pipeline redesign has implications both to digital and to sustainable tourism since it advances the current processing of tourism crowdsourcing platforms and impacts on the three pillars of sustainable tourism. |
Databáze: | OpenAIRE |
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