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Architecture of a Mobile App Recommender System for People with Special Needs

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Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services (UCAmI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8867))

Abstract

International initiatives promote the development of software applications and technologies which are suitable for people with disabilities or special needs. Although there are currently various apps to assist, facilitate and support different kinds of activities for these users, app repository search mechanisms are rigidly categorized and do not take into account the disabled user’s profile or context when recommending the most suitable apps available. The aim of this paper is to define an architecture of a new platform supporting an ontology-based recommender system on the features of the apps available in app stores.

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References

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Author information

Authors and Affiliations

  1. ETSIIT, Dpto. Lenguajes y Sistemas Informáticos, University of Granada, Granada, Spain

    María Isabel Torres-Carazo, María José Rodríguez-Fórtiz, María Visitación Hurtado, José Samos & Vanesa Espín

Authors
  1. María Isabel Torres-Carazo
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  2. María José Rodríguez-Fórtiz
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  3. María Visitación Hurtado
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  4. José Samos
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  5. Vanesa Espín
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Editor information

Editors and Affiliations

  1. Escuela Superior de Informática, Castilla Ly Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    Ramón Hervás

  2. Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, 446-701, Yongin-si, Gyeongi-do, Korea

    Sungyoung Lee

  3. Computer Science Research Institute, School of Computing and Mathematics, University of Ulster, Jordanstown Campus, Shore Road, BT37 0QB, Newtownabbey, UK

    Chris Nugent

  4. Escuela Superior de Informática, Castilla La Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    José Bravo

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© 2014 Springer International Publishing Switzerland

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Torres-Carazo, M.I., Rodríguez-Fórtiz, M.J., Hurtado, M.V., Samos, J., Espín, V. (2014). Architecture of a Mobile App Recommender System for People with Special Needs. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_47

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  • DOI: https://doi.org/10.1007/978-3-319-13102-3_47

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13101-6

  • Online ISBN: 978-3-319-13102-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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