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International Conference on Enterprise Information Systems

ICEIS 2016: Enterprise Information Systems pp 364–386Cite as

Multi-model Service for Recommending Tourist Attractions

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 291))

Abstract

Tourist information support is very important due to the fact that a tourist has to make decisions in dynamic and unfamiliar environment. One of the popular types of tourist decision support is recommendations (of attractions to see, events, transportation routes, etc.). However, each of the classical approaches for making recommendations relies heavily on the availability of particular information. This paper proposes a multi-model approach to recommendation systems design in the domain of tourist information support. Specifically, it proposes to construct a recommendation system as a composition of loosely coupled modules, implementing both personalized and non-personalized methods of recommendations and a coordination module responsible for adaptation of the whole system to the specific tourist and situation context. The paper also presents some results on practical evaluation of the proposed models and an integration of the developed recommendation system into a mobile tourist guide (TAIS).

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Acknowledgements

The research was partially supported by grants # 14-07-00345, # 15-07-08092, # 16-07-00463 of the Russian Foundation for Basic Research and project 213 (program I.5P) of the Presidium of the Russian Academy of Sciences. This work was also partially financially supported by the Government of the Russian Federation, Grant 074-U01.

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Authors and Affiliations

  1. St. Petersburg Institute for Informatics and Automation of the RAS, 14th line, 39, St. Petersburg, Russia

    Alexander Smirnov, Andrew Ponomarev & Alexey Kashevnik

  2. ITMO University, Kronverksky, 49, St. Petersburg, Russia

    Alexander Smirnov, Andrew Ponomarev & Alexey Kashevnik

Authors
  1. Alexander Smirnov
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  2. Andrew Ponomarev
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  3. Alexey Kashevnik
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Corresponding author

Correspondence to Andrew Ponomarev .

Editor information

Editors and Affiliations

  1. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

  2. Wroclaw University of Economics, Wroclaw, Poland

    Leszek A. Maciaszek

  3. ISTC-CNR, Institute of Sciences and Technologies of Cognition, Rome, Italy

    Michele M. Missikoff

  4. MODESTE/ESEO, Angers, France

    Olivier Camp

  5. EST, Instituto Politécnico de Setúbal (IPS), Setúbal, Portugal

    José Cordeiro

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Smirnov, A., Ponomarev, A., Kashevnik, A. (2017). Multi-model Service for Recommending Tourist Attractions. In: Hammoudi, S., Maciaszek, L., Missikoff, M., Camp, O., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2016. Lecture Notes in Business Information Processing, vol 291. Springer, Cham. https://doi.org/10.1007/978-3-319-62386-3_17

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  • DOI: https://doi.org/10.1007/978-3-319-62386-3_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62385-6

  • Online ISBN: 978-3-319-62386-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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