2014 | OriginalPaper | Buchkapitel
Proactive Recommendation System for m-Tourism Application
verfasst von : Alexander Smirnov, Alexey Kashevnik, Andrew Ponomarev, Nikolay Shilov, Nikolay Teslya
Erschienen in: Perspectives in Business Informatics Research
Verlag: Springer International Publishing
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In m-tourism applications, the proactive recommendations are especially actual for two major reasons: (1) the highly dynamic nature of the problem situation (the user continuously moves, the transport situation and weather conditions change); (2) limited possibilities of mobile devices for explicit information entry and checking large amounts of alternative solutions, but rich possibilities for tacit information entry via various sensors. The paper proposes an approach and research prototype based on the technologies of smart space and proactive recommendation systems. The architecture is based on the smart space technology. The system implementing the proposed approach helps the tourists to plan their attraction attending schedule based on the context information about the current situation in the region, its foreseen development, the tourist’s preferences and previous behavior, using their mobile devices.