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Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence pp 391–411Cite as

A Recommendation System for Browsing of Multimedia Collections in the Internet of Things

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 460))

Abstract

Exploring new applications and services for mobile environments has generated considerable excitement among both industries and academics. In this paper we propose a context-aware recommender system that accommodates user’s needs with location-dependent multimedia information available in a mobile environment related to an indoor scenario. Specifically, we propose a recommender system for the planning of browsing activities that are based on objects features, users’ behaviours and on the current context the state of which is captured by apposite sensor networks. We present the features of such a system and we discuss the proposed approach.

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Author information

Authors and Affiliations

  1. Dipartimento di Informatica e Sistemistica, University of Naples “Federico II”, Naples, Italy

    F. Amato, A. Mazzeo, V. Moscato & A. Picariello

Authors
  1. F. Amato
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  2. A. Mazzeo
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  3. V. Moscato
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  4. A. Picariello
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Corresponding author

Correspondence to F. Amato .

Editor information

Editors and Affiliations

  1. , School Of Computer Science, University of Derby, Derby, DE22 1GB, United Kingdom

    Nik Bessis

  2. , Departament De Llenguatges I, Universitat Politècnica De Catalunya, C/Jordi Girona, Campus Nord, ed. Omega 1-3, Barcelona, 08034, Spain

    Fatos Xhafa

  3. School Of Electrical & Computer Engineer, Division Of Communication,, National Technical University Of Athens, Iroon Polytechniou 9, Athens, 15780, Greece

    Dora Varvarigou

  4. School Of Computer Science, and Mathematics, University of Derby, Kedleston Road, Derby, DE22 1GB, United Kingdom

    Richard Hill

  5. School Of Engineering And Design, Department Of Electronic And, Brunel University, Middlesex, Uxbridge, UB8 3PH, United Kingdom

    Maozhen Li

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Amato, F., Mazzeo, A., Moscato, V., Picariello, A. (2013). A Recommendation System for Browsing of Multimedia Collections in the Internet of Things. In: Bessis, N., Xhafa, F., Varvarigou, D., Hill, R., Li, M. (eds) Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence. Studies in Computational Intelligence, vol 460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34952-2_16

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  • DOI: https://doi.org/10.1007/978-3-642-34952-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34951-5

  • Online ISBN: 978-3-642-34952-2

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