Abstract
Itinerary planning is a challenging knowledge acquisition activity. An itinerary is an ordered list of points of interest (POIs) obtained after the analysis of several dimensions (e.g., current context, user preferences, etc.) that are jointly considered for a context-aware recommendation of customized paths. When the system returns many itineraries, it is difficult for a user to understand which of them is optimal. This is particularly true if they are returned by a single query, they present large overlaps, and the points of interest are new to the user.
This paper presents the SearchPath service which is a vertical application dedicated to the retrieval of indexed itineraries according to the geographic context and user’s interests. The innovation underlying this service is the navigation of multi-itineraries where a path is considered according to several conceptual interconnected views. Moreover, a collection of cards for additional knowledge and multimedia information can be expanded for each of the POI. The SearchPath service has been integrated in the Pollicina project where cultural heritage itineraries have been defined by users during their learning activities.
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Acknowledgments
The Pollicina project is supported by the Regional Operational Program of the European Fund for Regional Development 2014–2020 (POR FESR 2014–2020).
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Palazzo, Y., Calegari, S., Avogadro, P., Dominoni, M. (2020). The Navigation of Multi-itineraries for the Cultural Heritage Context. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12253. Springer, Cham. https://doi.org/10.1007/978-3-030-58814-4_40
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DOI: https://doi.org/10.1007/978-3-030-58814-4_40
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