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Proactive Recommendation System for m-Tourism Application

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Perspectives in Business Informatics Research (BIR 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 194))

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Abstract

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.

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Authors and Affiliations

  1. St.Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14 Line, 199178, St.Petersburg, Russia

    Alexander Smirnov, Alexey Kashevnik, Andrew Ponomarev, Nikolay Shilov & Nikolay Teslya

  2. ITMO University, 49, Kronverkskiy pr., 197101, St. Petersburg, Russia

    Alexander Smirnov

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  1. Alexander Smirnov
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  2. Alexey Kashevnik
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  3. Andrew Ponomarev
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  4. Nikolay Shilov
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  5. Nikolay Teslya
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Editors and Affiliations

  1. Department of Informatics, Lund School of Economics and Management, Lund, Sweden

    Björn Johansson , Bo Andersson  & Nicklas Holmberg ,  & 

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Smirnov, A., Kashevnik, A., Ponomarev, A., Shilov, N., Teslya, N. (2014). Proactive Recommendation System for m-Tourism Application. In: Johansson, B., Andersson, B., Holmberg, N. (eds) Perspectives in Business Informatics Research. BIR 2014. Lecture Notes in Business Information Processing, vol 194. Springer, Cham. https://doi.org/10.1007/978-3-319-11370-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-11370-8_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11369-2

  • Online ISBN: 978-3-319-11370-8

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