Abstract
This paper describes a proposal to develop a Tourism Recommendation System based in Users and Points-of-Interest (POI) functionality/accessibility levels. The focus is to evaluate if user’s physical and psychological functionality levels can perform an important role in recommendation results accuracy. This work also aims to show the importance of POI classification (accessibility levels are related with each POI ability to receive tourists with certain levels of physical and psychological issues), through the definition of a different model regarding their accessibility and other characteristics.
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POCI, POSC and COMPETE for their support to GECAD unit.
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Santos, F., Almeida, A., Martins, C., de Oliveira, P.M., Gonçalves, R. (2018). Hybrid Tourism Recommendation System Based on Functionality/Accessibility Levels. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_23
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DOI: https://doi.org/10.1007/978-3-319-61578-3_23
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